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Data Scientist Optimization | Nextail |
We are looking for a Data Science Generalist, with experience in Optimization, good programming skills, and business-oriented.
At Nextail, we empower retailers to create better experiences while using fewer of the world's resources. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans.
Data Science at Nextail
The DS Team is part of the Product Team, our goal is to multiply the impact of our product on the business. Data Science Techniques, AI, ML, Optimisation, Simulation, Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Engineers, and Business Experts to solve the end-to-end problem.
We are business-focused, we get into the skin of our customers, we learn to talk their language, we feel their pain and their joy.
We believe in Data Ops, and Agile Data Science methodologies, in adding value fast, keeping things simple, and iterating to improve while the effort is worth it. Life is short, our time is gold, we automate, we prioritize, we ensure focus, we carefully choose our objectives to be sure to achieve them.
Our job is not finished when the model and the end to end solution is in production, or after the change management and operational details are closed, not even when we have strong evidence that the solution is solving the user problem and she is satisfied, because after that we continue monitoring our models.
We are scientists, empiricists, we measure the impact in the business, we progress with small steps, one at a time validating hypotheses at the lowest cost. We are humble, we never know enough, we embrace uncertainty, we are all the time learning from the wise and the data.
We listen carefully to the business experts, and to our DS pairs and make sure we understand each other, we validate every assumption and hypothesis both with them and with the data, we are always thirsty for feedback and validation.
The discussion between pairs, working together, challenging each other, is the fastest way to solve a problem and to grow as a Data Scientist. We have a culture of sharing, transparency, meritocracy, caring, and trusting each other.
We offer:
High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.
Remote-first philosophy: Nextail started as a remote company and continues to offer a nice mix of remote and/or office-based environments around the world.
International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.
Diversity on all levels: United as a single team, we celebrate diversity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting and entrepreneurship.
The laptop of your choice: We want you to work with the tools that are most comfortable for you!
Flexible compensation plan: We offer a fixed + variable salary as well as company equity as we progress towards our Series B fundraising round.
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Decision Science Lead Marketing | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst Lead supporting Marketing for our San Antonio Corporate office or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ). Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of progressive functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, etc.) to include 6 years of experience in data & analytics Or Advanced degree in Business, Science, Finance, Mathematics, Economics or relevant discipline and 6 years of experience in data/analytics or business relevant function (directly related functional business experience within the industry of responsibility is acceptable for 3 of these years)3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Prior experience with planning and forecasting marketing effectiveness based on the marketing budget allocated by the businessPrior planning and forecasting experience focused on expected results driven by a set budgetExperience implementing emerging technology and techniques for analytical purposesPrior digital marketing analytical experience in Insurance; knowledge of marketing analytical process and measurement frameworkAbility to work on multiple projects in a fast-paced environment with limited supervisionStrong relationship management and negotiation skills; ability to influence senior leadership and drive business resultsTesting experience – designing, leading, executing, and analyzing results
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Data Scientist Lead Computer Vision | Usaa |
Purpose of Job
We are seeking a talented Data Scientist Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work remotely in a 100% Remote Work Environment.
This role will have a heavy focus on developing and advancing the Bank’s computer vision capabilities by delivering computer vision solutions to meet critical business needs and by serving as subject matter expert to develop the skills of other data scientist.
Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought leaders to ensure enterprise has access to cutting-edge thinking and technologies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Expert in Computer VisionExperience in building advanced analytics for a Bank product, preferably Mortgage Banking.Expert in Natural Language Processing.Excellent communication and storytelling skills.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
|
Data Scientist Lead | Usaa |
Purpose of Job
We are seeking a talented Data Scientist I for our San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; Tampa, FL or our Charlotte, NC facility. This person may also work remotely in a 100% Remote Work Environment.
Candidate selected for this position is going to work with USAA enterprise data office data science team. They will leverage the advanced machine learning method to drive member insights and enhance member experience of the organization.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
We're proud of USAA's strong history -- and we're even more passionate about our future. That's why we have a team of supportive and collaborative hardworking technology professionals focused on doing more for our members. And why we're continuing to add innovative problem solvers to our team. With us, you'll find exciting challenges that inspire you to continue learning and growing.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential.
Minimum requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred experience:
Expert in at least one of the areas: Classification, Neural network, Computer Vision, NLP or graph models.Experience in building advanced analytics leveraging cross channel member data.Excellent communication and storytelling skills.Java based simulation/optimization solution.Cloud data migration and development.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $135,200 - $243,500*
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.
|
Data Scientist I | Usaa |
Purpose of Job
**Two positions available**
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization) supporting a Bank product.Fluency in Python, SQL skills to develop numerical models.Worked with Hive in Hadoop, or Spark. Snowflake a plus.Grasp of mathematics, with a proficient foundation in calculus, linear algebra, probability, and statistics.Exposure to natural language processing (NLP), deep learning, computer vision.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
|
Principal Data Scientist Us Canada Latam | Velocity Global |
WHAT WE DO & WHO WE DO IT FOR?
We empower tens of thousands of employees worldwide to work anywhere in the world.
Velocity Global is a cloud-based, workforce management and payment platform that makes it possible for employees and contractors, like you, to work and get paid just about anywhere on the planet. Our SaaS platform enables the world’s leading companies to identify, hire, and pay the best talent in over 185 countries, as well as all 50 United States. The world’s most innovative companies rely on Velocity Global’s workforce management and payment platform, to build highly collaborative global teams. This is done with the click of a button, without the cost or complexity of setting up foreign legal entities, or state registrations.
With Velocity Global’s Workforce Management and Payment platform, nearly any location is possible. Make work, work.
WHO ARE WE?
We are a team of passionate, creative, empathetic innovators, committed to building the world’s most amazing cloud based workforce management and payment platform that makes working from anywhere, anytime possible. If you wake up compelled to innovate and create, we should talk.
POSITION SUMMARY
The Principal Data Scientist at Velocity Global will be responsible for managing all aspects of the data science process within IT as a shared service for internal and external customers. Responsibilities include data curation/management, model construction, evaluation, and implementation, working with stakeholders to determine where data science could best be applied throughout the company to create value, and the creation of data products to drive increased revenue. The ideal candidate will have had at least five years of experience working as a data scientist, preferably in a management capacity. In addition to technical expertise this position will require excellent customer service skills and creativity in the use of data to create insights and drive sales. This full-time position is remote within the United States, Canada, or LATAM.
RESPONSIBILITIES
Create classification and regression models for tasks such as: marketing targeting, customer churn prediction, and supported employee survivorship
Creation of data products for sale to external customers, e.g. job matching between clients and candidates
Advise and Design the data management process to ensure data is well organized for data science application
Perform statistical tests to assist in data analysis
Develop time series modeling for sales forecasting
Work with data engineering to implement models in Airflow and Snowflake
Assist the business in developing use cases for data science and helping to scope and shape modeling asks
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not construed to be an exhaustive list of all job duties performed by the personnel so classified.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Experience and expertise in quantitative field such as mathematics, statistics, computer science, engineering, or physics.
5-10 years working as a Data Scientist, preferably with management experience
Implementation of standard algorithmic techniques such XGBoost, Elastic net regression, dimension reduction (e.g. PCA), deep neural network architectures, ARIMA, clustering (e.g. K-means), and statistical testing methodologies (e.g. chi square)
Knowledge of and experience working with RDBMS and No-SQL databases
High proficiency in SQL and Python
Additional experience with R preferred
Experience with data visualization platforms such as Looker and Tableau
OUR VALUES
Velocity - Exceeding expectations of our customers, colleagues, and ourselves by delivering swift and effective results.
Integrity - Doing right by our customers, colleagues, and ourselves through honest and ethical actions.
Be Bold - Daring to take risks, learn, and grow to benefit our customers, colleagues, and ourselves.
Empowerment - Owning our decisions and being accountable for the impact we have on our customers, colleagues, and ourselves.
Service - Supporting our customers, colleagues, and ourselves with respect and empathy.
We have a passion for all things international business and thrive in a fast-paced, high-growth environment. If you want to work for a professional, global, inclusive, and innovative company, we’d love to meet you!
At Velocity Global, we value inclusion and belonging. We encourage applications from all qualified candidates regardless of age, ancestry, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you have a disability or special need that requires accommodation, please contact us at [email protected]
#LI-REMOTE
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Senior Research Scientist Algorithms Engineering | Netflix |
This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s).
Want to research and develop improvements to the core algorithms such as recommendations and search that power the Netflix experience that over 193+ million members worldwide see each time they log in? Our Algorithms Engineering team is looking for passionate and talented applied machine learning experts to lead the way by researching and developing the next generation of algorithms used to drive the Netflix experience. This spans central areas of our product including how we approach recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, search, messaging, marketing), media assets generation and optimizing Netflix-wide systems & infrastructure.
In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
If you are ready to make a difference at a company that matters, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.
For more details about what we are working on, readthese blog posts.
To learn more about our research work, you can visit our research pagehere.
What we are looking for:
5+ years of research experience with a track record of delivering quality resultsExpertise in machine learning spanning supervised and unsupervised learning methodsExperience in successfully applying machine learning to real-world problemsStrong mathematical skills with knowledge of statistical methodsStrong software development experience in languages such as Scala, Java, Python, C++ or C#Great interpersonal skillsPhD or MS in Computer Science, Statistics, or related field
Preferred, but not required, additional areas of experience:
Experience in Recommendation Systems, Personalization, Search, Computational Advertising, Natural Language Processing or Computer VisionExperience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applicationsExperience in optimization algorithms and numerical computationExperience with Spark, TensorFlow, Keras, and PyTorchExperience with cloud computing platforms and large web-scale distributed systemsOpen source contributions
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Sr Data Scientist Data Science And Engineering Experimentation Dse | Netflix |
At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are seeking Sr Data Scientists for a range of teams within Data Science and Engineering. From owning experimentation within the Open Connect network, building sophisticated tools on a world-class experimentation platform to provide seamless quality of experience, driving Growth and Membership of Netflix Platform, to unlocking the power of data in highly creative editorial creative space, evaluating the performance and optimizing personalization algorithms to deliver recommendations or building sophisticated experimentation tools - we have a few areas within which we are seeking Data Scientists driven by curiosity and passionate about working with a range of stakeholders.
As a Data Scientist, you will be partnering with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product decisions are made.
In this role, you will:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunitiesIdentify, compute and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.Present your research and insights to all levels of the company
We are looking for:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field5+ years relevant experience with large scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settingsStrong product knowledge and intuition - ideally utilized in consumer/ or user interface settings or internally serving technical audiences such as engineers.Demonstrated ability to communicate and drive product change across a variety of stakeholders Strong SQL skillsStrong Quantitative Programming skills in Python or RAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels. Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Experience in building real-world machine learning models with demonstrated impactPlus: Experience creating data products and dashboards such as TableauPlus: Experience in building causal inference solutionsPlus: Familiarity with software engineering practice and working with APIs
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Data Scientist Analytics | Quartz |
Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
The Opportunity
We are looking for talented Data Scientists with a passion for addressing business needs through data modeling and analysis to join our team. As an individual contributor on this team, you will work with senior members of the team and internal partners from across the organization. This position requires strong problem-solving, analytical and communication skills; experience with multitasking and prioritizing in an ever evolving business/tech environment; and the tenacity to execute against deliverables in a timely, high-quality fashion. Health data experience is a plus.
Accountabilities:
Derive insights from descriptive analysis using multiple datasets including user activity on the Quartet platform, medical claims, pharmacy claims etc.
Apply statistical techniques to model healthcare utilization patterns and evaluate care outcomes
Support a data-informed process for experimenting with new products or operational workflows to improve patient outcomes
Design and implement metrics, run and interpret experiments, draw causal inferences and create visualizations and dashboards
Minimum Qualifications:
Bachelor's degree in a quantitative field.
Professional experience working at a Healthcare or Health Insurance company
3+ years of experience in a technical Data-focused role (Data Scientist, Data Engineer, Data Analyst, BI Analyst, Actuary)
Knowledge of statistics fundamentals.
Experience with SQL.
Programming proficiency in Python or R
Ability to clearly communicate across disciplines and work collaboratively.
Preferred Qualifications:
Experience (professional or otherwise) working with value-based care or healthcare quality measurement
Graduate degree in a quantitative field or Public Health
Experience building software products
Analytics-related experience (building products, working with dashboarding tools, etc.)
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, catered lunches, snacks, team events and outings, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental leave, commuter benefits, 401K, stock option grants, gym benefits.
Want to know what Quartet life is like? Click here to meet our team.
Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. [email protected]). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: [email protected].
Have someone to refer? Email [email protected] to submit their details to us.
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Applied Ai Researcher | Loom |
The Role
We are seeking a highly skilled and motivated Applied AI Researcher specializing in video and audio AI to join our dynamic team. As an Applied AI Researcher, you will play a pivotal role in advancing our cutting-edge technologies in computer vision, natural language processing, and audio analysis. Your expertise will contribute to the development of innovative solutions that leverage machine-learning techniques to solve complex problems in the realm of video and audio analysis and transformations.
Responsibilities
Research and Development: Conduct state-of-the-art research in machine learning, deep learning, and artificial intelligence with a focus on video and audio analysis. Develop novel algorithms, models, and techniques to enhance video understanding, object recognition, activity recognition, speech recognition, audio classification, and other related areas.
Data Analysis: Identify and analyze large-scale video and audio datasets to extract meaningful insights. Apply statistical and machine learning methods to understand patterns, trends, and relationships within the data, driving improvements in video and audio AI systems.
Open-Source Models: Experience in understanding, adapting, and fine-tuning open-source machine learning models for specific tasks.
Model Development: Design, implement, and evaluate machine learning models and architectures for video and audio AI applications. Explore and optimize various neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, to achieve high accuracy and efficiency.
Algorithm Optimization: Optimize and fine-tune video and audio AI algorithms for performance, scalability, and resource efficiency. Collaborate with software engineers to integrate developed models and algorithms into production systems or applications.
Experimentation and Evaluation: Design rigorous experiments and conduct comprehensive evaluations to validate the effectiveness and robustness of video and audio AI models. Analyze experimental results and iterate on models and algorithms to achieve optimal performance.
Collaboration and Communication: Collaborate with cross-functional teams, including researchers, engineers, and product managers, to understand requirements and translate them into actionable research projects. Present research findings, insights, and technical reports to internal stakeholders and external audiences through presentations, papers, or conferences.
Stay Current: Keep up-to-date with the latest advancements in machine learning, computer vision, and audio processing research. Monitor industry trends and emerging technologies to identify opportunities for innovation and improvement within video and audio AI.
What We're Looking For
Masters or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, computer vision, or audio processing.
Proven track record of research experience in machine learning and AI, specifically in video and audio analysis.
Strong programming skills in languages such as Python, MATLAB, or C++, along with experience using deep learning frameworks (e.g., TensorFlow, PyTorch).
In-depth knowledge of machine learning techniques, including CNNs, RNNs, and other deep learning architectures.
Proficiency in video processing, computer vision, and/or audio signal processing.
Experience with large-scale video and audio datasets, data preprocessing, and feature extraction.
Strong analytical and problem-solving skills, with the ability to develop creative and innovative solutions to complex challenges.
Excellent written and verbal communication skills, with the ability to present research findings effectively.
Strong publication record in leading conferences or journals in the field of machine learning, computer vision, or audio processing is a plus.
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Data Scientist | Focuskpi |
FocusKPI is seeking Data Scientists to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S.
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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Data Science Analyst Platform | Mayo Clinic |
Why Mayo Clinic
Mayo Clinic has been ranked the #1 hospital in the nation by U.S. News & World Report, as well as #1 in more specialties than any other care provider. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation andcomprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.
Responsibilities
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.Other responsibilities:•Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.•Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.•Executes analytical procedures in the framework of a specific project work request.•Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.•Contributes to the interpretation of data analysis and to writing reports.•Helps customers understand the data set and provide training and suggestions for improvement on the data request.•Leverages communication and interpersonal skills and works with subject matter experts•Presents findings in easy to understand terms for the business or clinical practice.
Qualifications
A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.The preferred candidate will possess a Master’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
Exemption Status
Exempt
Compensation Detail
$95,492 - $133,681 / year
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Monday - Friday, Normal Business Hours
100% Remote. This position may work remotely from any location within the US.
Some travel may be required
This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position.
Weekend Schedule
Not Applicable
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Affirmative Action and Equal Opportunity Employer
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
Recruiter
Julie Melton
Department Title
Mayo Clinic Platform
Apply Now Save
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Principal Technical Data Scientist | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency. You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity.
You will be reporting to our Head of Experimentation.
What you'll do
Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work.Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science.Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)Lead, coach, and build solutions from within a center of excellence.Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.Contribute into overall Data Science team OKRs.Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisions.Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.
Your background
10+ years of experience with a combination of data science, analytics and data engineering experience.Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes.An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future".Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisionsA very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories.Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.
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Interconnection Data Scientist | Qcells |
Hanwha Q CELLS USA Corp (“HQC US”) develops, invests, and delivers solar photovoltaic (PV) and battery energy storage systems (BESS) projects through Engineering, Procurement, Construction (EPC) services in North America.
The company brings a decade of global leadership in solar PV to deliver utility-scale power generation plants customized for local and regional energy markets. HQC US offers the full spectrum of PV solutions – from the core technology of cells and modules to large-scale project development and investment. With proven capabilities across the solar and battery storage value chain, HQC US minimizes uncertainty and risk and helps customers achieve a higher return on their investment in renewable energy.
Qcells is looking for an experienced data scientist with experience in energy forecasting. This position will lead thedevelopment oflong-termenergy time series probabilistic forecasting tool to facilitate our long-term utility scaled renewable revenue forecast in different markets. As anInterconnection Data Scientist, you would haveopportunities to collaborate with subcontractors and other data scientist to refine the forecast methodology and integration with other internal tools.
We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic with excellent problem-solving skills are equally important as being a team player who enjoys to learn and teach.
This position reports to the Transmission Planning Manager or Vice President of Interconnection. This position may be expected to travel up to 20%.
Essential Job Functions & Responsibilities
Lead thedevelopmentofour time seriesprobabilisticforecastingalgorithms.
Work tocontinuouslyimprovemodelperformance and debugwherenecessary.
Benchmarking forecastperformanceacrossvariousloadand renewableprofiles,fuelprices, and policyscenarios.
CollaboratewithotherteamswithinQcells and external consultanttoassesshowforecastscanbeadjustedforvariouseconomicobjectives.
Integrating the forecasting tool into our other forecasting models/tools and dispatch optimization tools to create a robust number for Project Finance department.
Proactively identify opportunities within Qcells that can benefit from data science analysis and present those findings.
Write SQL API code to get historical data from ISO/RTO for benchmarking purpose, including congestion, demand, LMP, import/export, generation, and outages.
Gather other public or private (subscription) forecast data to provide insights.
Provide subject-expertise to review external consultant work for other energy related forecast.
Required Qualifications
A degree in Electricalengineering and/orMaster’spreferred.
3+ yearsofindustryexperiencedeveloping, supporting, and deployingforecastingmodelsforenergyapplications.
Expertisein Data Science language such as Python, Matlab and R.
Database skill in SQL.
Experience with Python libraries for numerical methods and timeseries data.
Strong background in linear algebra and statistics.
Experience communicating / working with utilities, consulting firms, and ISO/RTOs
Machine Learning related experience is desired.
Experience in energy / utility or related markets is desirable but not necessary.
Willingness to travel, up to 20% of the time.
The above-listed salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. The salary range shared in the job description is for the listed position and only pertains to the candidate if they work in Irvine, CA. Actual compensation is influenced by a wide array of factors including but not limited to internal pay equity, skill set, education, licenses and certifications, geographic location, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications. An additional discretionary bonus structure or incentives may be offered as part of the overall compensation package, in addition to the full range of medical, dental, and/or other benefits, dependent on the level and position offered.
PHYSICAL DEMANDS
· Stationary Position: frequently remains stationary up to 90% of the time and sitting up to 8 hours in a day
· Move/Traverse: infrequently bend, stand, stoop and/or walk
· Carry Weight: infrequently carry weight and/or lift objects (light to heavy) weighing up to 10 pounds
· Hearing and Speech: frequently communicates with the ability to hear and talk on a regular basis with employees, coworkers, and all personnel matters; must be able to exchange accurate information in these situations
· Sight: frequent use of sight to detect images on computer, office documents, and office objects near and far
· Climb: occasionally ascends/descends on stairway to get to office upper and lower floors
· Travel: review above travel requirement for this position
WORK ENVIRONMENT
· Regular professional, office business setting
· Noise level ranges from low to moderate (if in office setting)
· Noise level ranges from moderate to high (if on construction worksite)
Hanwha Q Cells is proud to be an at-will Equal Opportunity Employer and prohibits discrimination against race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, pregnancy, citizenship, disability, protected veteran status and any other classification protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals. As part of this commitment, Hanwha Q Cells will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. Please contact us to request accommodations at [email protected].
Nothing in this statement shall imply implicitly or explicitly a guarantee of employment outside our at-will employment opportunity.
You may view your privacy rights by reviewing Qcells’ Privacy Policy here or contacting our HR Team for a copy.
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Staff Applied Scientist I Core Fulfillment | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
The Core Fulfillment group at Etsy creates the most fulfilling fulfillment experience by enabling transparency and trust for our buyers while highlighting the human side of our sellers and their unique items. Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
This is a full-time position reporting to the Engineering Manager and the base salary range will be 196,000.00 - 230,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
What does the day-to-day look like?
In this role you will:
Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences
Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality
Work closely with software engineers, product managers, and designers
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
An M.S. or Ph.D. degree in Operations Research, Computer Science, Statistics or related engineering fields and 4 years of experience, or 7+ years of practical experience
Experience in building production ML systems
Successful track record of applying operations research and/or machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
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Senior Applied Scientist I Core Fulfillment | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
Job Description
What’s the role?
The Core Fulfillment group at Etsy creates the most fulfilling fulfillment experience by enabling transparency and trust for our buyers while highlighting the human side of our sellers and their unique items. Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
This is a full-time position reporting to the Senior Engineering Manager and the base salary range will be 164,000.00 - 192,000.00 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety
policies here.
What’s this team like at Etsy?
Our goal is to make global fulfillment on Etsy predictable when it comes to delivery speed, network reliability, shipping cost, tracking and even digital and custom made items. Our many:many marketplace gives us a unique opportunity to utilize data to optimize buyer and seller experiences and ensure the fulfillment promises we make to buyers meet rigorous standards and expectations.
What does the day-to-day look like?
Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences
Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance
Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality
Work closely with software engineers, product managers, and designers
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
An M.S. or Ph.D. degree in Operations Research, Computer Science, Statistics or related engineering fields or 3+ years of practical experience
Experience in building production ML systems
Successful track record of applying operations research and/or machine learning techniques in addressing real-world problems
Experience with / working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning
Shown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code
Ability to write and manipulate data at a large scale, in distributed environments
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.
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Senior Data Scientist | College Board |
Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
#LI-TheAcorn#LI-Remote
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Lead Data Scientist Mobile | Electronic Arts |
We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.
EA's Data & Analytics (DnA) team is accelerating our game developer's need for advanced data knowledge and toolsets.
We are hiring a Lead Data Scientist - Mobile for our Data & Analytics (DnA) Data Science team to join our current roster of lead data scientists reporting to a data science Sr Manager. The Data Science team partners with all of EA’s game studios to offer data science products and solutions. For this Lead Data Scientist role we are looking for applied and practical AI/ML expertise with a focus on Mobile Games.
You will bring expertise in the area of AI, ML, and engineering, to create best practices for EA’s mobile gaming titles and lead efforts related to life cycle management, economics, and player experience across all of our mobile titles.
Responsibilities
Work directly with mobile game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.
Develop plans to generalize products across titles with our engineering partners.
Review mobile projects, providing guidance and being accountable for the success of the project or products produced.
Communicate data science projects and products to partners.
Ensure your methodology and experimental design and how experiments can produce relevant conclusions.
Engage with other Data Science leads, sharing best practices and help consult on cross-projects.
Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.
Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.
Required Qualifications
Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged. (Masters/PhD)
6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
Expertise in the mobile gaming space, understanding typical business models, game development practices and technology.
Experience building applied models, systems or projects in the following areas: recommendation systems, retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology.
Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
Familiarity with at least one scripting language: Python is used, but R/Scala possible.
History of mentoring junior team members.
Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners.
Experience using query languages and other analytic tools.
Interest in games a big plus.
US COMPENSATION AND BENEFITSThe base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.BASE SALARY RANGES • California (depending on location e.g. Los Angeles vs. Sacramento): º $149,150 - $233,500 • New York (depending on location e.g. Manhattan vs. Buffalo): º $136,000 - $233,500 • Jersey City, NJ: º $171,100 - $233,500 • Colorado (depending on location e.g. Denver vs. Colorado Springs): º $136,000 - $190,850 • Washington (depending on location e.g. Seattle vs. Spokane): º $136,000 - $218,900Base salary is just one part of the overall compensation at EA. We also offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby (following 1 year of service), medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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Principal Applied Scientist | Zillow |
About the team
Zillow Group Legal and Compliance is a business-oriented team of skilled professionals and fun people who enjoy working in a congenial environment within an innovative, fast-paced tech, real estate, and media company!
About the role
We are looking for an outstanding intellectual property and marketing attorney who thrives in a dynamic and collaborative environment. This lawyer will provide counseling on IP-related issues; assist with managing Zillow’s IP portfolios and; and support our brand marketing efforts.
In this role, you will
Help the business enhance and protect its IP portfolio: provide guidance for identifying ideas/filing patent applications, clear trademarks and file trademark applications, help ensure maximum protection of company content and data, draft licenses, and assist with IP enforcement effortsProvide legal support and guidance on issues related to trademarks, patents, copyrights, trade secrets, rights of publicity and other forms of intellectual propertyCollaborate with legal peers and business colleagues to support traditional and digital media marketing efforts and other brand campaignsProvide sound, practical advice to business colleagues that help accomplish company objectivesProvide advice and subsequent review and approval for marketing output in all forms, including online social marketing, assessing advertising claims substantiation, reviewing and advising on creative content, and draft disclosures and disclaimers, among other dutiesNegotiate marketing and advertising related agreements, (including endorsement/talent/influencers, agency, vendor, font and music licenses, and production)
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $120,900.00 - $193,100.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
4+ years of a combination of IP and marketing law experience, preferably with some in-house counsel experienceExperience managing a company’s IP portfolio (including counseling on effective IP strategy options)Broad-based experience supporting marketing teams in the internet, technology, and/or media industriesA project manager, skilled at communicating with business partnersAn innovator and results oriented problem solverAble to demonstrate good judgment and evaluate risk while considering the larger pictureDiligent, detail-orientated, and meticulous practitionerJD with active state bar admission
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Data Scientist | Zillow |
About the team
Zillow Group is currently seeking a Data Scientist to join the ZG data science org. We’re passionate about understanding the customer journey on our platforms through deep analysis and measurement. We relentlessly advocate for a seamless and delightful home shopping experience from dream to reality! The team works closely with the product & marketing organizations to discover strategic opportunities in areas spanning the search and discovery process, membership and re-engagement, evaluation and curation of potential homes, and personalization for both the Zillow and Trulia brands. Finally, we scale this work by partnering with engineering teams to build and maintain key analytics tools and infrastructure.
About the role
By applying to this role, you will be considered for all open Data Science roles at Zillow. You will have the opportunity to deliver deep insights about how each customer can optimize their unique journey on Zillow using your expertise in: customer, marketing and product analytics, propensity modeling, causal inference, and/or experimentation. You will provide thought leadership in how we drive customer success by partnering with product & marketing teams to convert our insights into actions. Through this role you will have frequent opportunities to share your analyses and recommendations with colleagues across the organization and see the results of your efforts affect millions of people daily. You will:
Collaborate with stakeholders to develop evidence based approaches to finding gaps in the customer experience, measuring efficacy of particular solutions, and incorporating findings into the next iteration.Utilize advanced analytics including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.Create compelling data stories and visualizations to influence decision makers.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $109,300.00 - $174,700.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
You are ready to bring your data and analytics expertise to transform what it means to dream, search, and find a home. You seek to understand the many needs of our customers and advocate for them at every turn. You have an appreciation of the unique challenges posed by a multi-platform and multi-brand experience. Additionally, we expect you to have:
An undergraduate or Master's degree in a quantitative field (e.g. mathematics, finance, statistics, or similar) or confirmed experience within data science and analytics2+ years of work experience involving quantitative data analysis and complex problem solvingExcellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plansDemonstrated experience working with large data sets and applying statistical modelingExperience with A/B and experimentation Strong proficiency in SQL (e.g. Hive, Presto)Strong proficiency in Python for data analysis (pandas, numpy) and modeling (scikitlearn, statsmodels, etc)Experience in sharing insights through data visualization, especially with TableauAbility to work cross-functionally and push partners to connect customer problems to business strategy.
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Fraud Data Scientist | Id Me |
Role Overview
We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me’s fraud strategy. If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you.
Responsibilities
Partner with fraud leadership and fraud investigators to develop our fraud strategy
Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates
Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network
Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams
Recommend and build automated rules and models to support the detection and prevention of fraudulent activity
Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO)
Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes
Build strong relationships with key partners and the leadership
Qualifications
2+ years of hands-on experience in fraud strategy or a high-tech mature startup
2+ years of experience in fraud analytics or related
Experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras
MS (PHD Preferred) in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related)
Experience building & deploying ML products on GCP and/or AWS
Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc.
Experience with Time Series Prediction models & one or more deep learning libraries
Experience in developing, managing, and manipulating large, complex datasets
Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
Ability to work independently and autonomously, as well as part of a team
Superb time management, prioritization of tasks and ability to meet deadlines with little supervision
Note that candidates must be located in the continental U.S.
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Data Scientist Eligible Health Division | Mathematica |
Position Description:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here. At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success. We are looking for data scientiststo lead and support data processing and analysis tasks, such as building data pipelines, monitoring data quality, developing documentation, applying statistical and data science methods, and creating data visualizations. Our junior data scientists underpin our company's core offerings in program improvement and data science, which yield crucial evidence and information for policy and decision makers. This position will either work remotely or flexibly in one of our office locations.
This position focuses on health policy, which includes projects such as:
Monitoring the impacts of an alternative payment model for primary care in terms of care quality, cost, and health outcomes for diverse beneficiaries, using claims from thousands of primary care practices across the country and predicting future hospital costs and behavior.Developing and testing how claims and survey data from federal and state-level programs could be used to measure patients’ experience of care, quality of life, care coordination, and long-term outcomes for beneficiaries enrolled in both Medicare and Medicaid.Creating an interactive data visualization tool to help local policy and decision makers understand how social determinants of health are related to health outcomes in their county, using open-source data from public agencies and non-profits.
Specifically, our data scientistscontribute to team-based projects by:
Co-developing analysis plans with a senior data scientist or researcherWriting and maintaining programming systems in languages such as Python and R to obtain, combine, and transform datasets on cloud, internal, and client serversDeveloping and maintaining documentationImplementing quality assurance practices, such as version control and testingConducting analysis and communicating results, both to clients and internal teams, such as descriptive statistics, data visualizations, and model diagnosticsLeading and managing small teams and tasks with oversight from a senior staff member
Position Requirements:
Requirements:
Master's degree, or bootcamp, with an academic record including courses in subjects such as statistics, data science, data analytics, mathematics, operations research, computer science, and/or social science; equivalent years of experience can be substitutedDemonstrated interest and/or experience using programming and data science and/or statistics to contribute to projects with a policy/social impact in academic and/or professional settingsAt least three years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia in the academic, extra-curricular, or professional environmentExperience executing data science and statistics techniques including regression modeling, machine learning algorithms, network analysis, or natural language processingAbility and desire to work independently as part of an interdisciplinary team that may be geographically dispersed. This includes being able to learn from and apply resources such as self-guided tutorials, package documentation, and academic articles and willingness to constantly learn and contribute to knowledge sharing with team members.Experience with reproducible research principles, version control, interactive visualizations, and common packages/libraries for supporting data science work in R, Python, and/or Julia (e.g., tidyverse, R Shiny, R Markdown, pandas, NumPy, scikit-learn, MLJ.jl, DataFrames.jl, and/or Makie.jl).Desired but not required: experience with healthcare datasets (for example, Medicare or Medicaid claims and enrollment data), production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics.
This position offers an anticipated annual base salary range of $75,000- $100,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit a cover letter, resume, location preference, salary expectations, and a code sample (or multiple), in one of the following languages: Python, R, Julia (can be provided in a file attachment or GitHub repository link). STAFFING AGENCIES AND THIRD PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly.
Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).
Available Locations: Remote; Washington, DC; Princeton, NJ To choose "remote" as your location, select "no preference."
#LI-AR1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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Senior Data Scientist | Keybank |
Location:For Those Who Work At Home - Various, Virginia 23455KeyBank is one of the 25 largest banks in the country and leverages cutting-edge technology and data-driven strategies to develop innovative solutions for our clients. Advanced analytics and technological capabilities are critically important to KeyBank’s core business practices, as it impacts the daily operations of the bank and customer experience. The Data Science and Machine Learning team sits within the Data & Decisions organization that reports directly to the CFO and is a centralized data science and machine learning organization supporting business revenue generation activities and operational efficiency across the bank. The team is composed of talented data scientists, machine learning engineers and data engineers. Our senior data scientists work directly with each line of business and other functional teams to solve complex and unique business problems by building state-of-the-art data science and machine learning solutions to support business growth and improve customer experience.The team is looking for a Senior Data Scientist to design, develop and implement advanced analytics and modeling solutions with a primary focus on credit decisioning. This role covers all key aspects of model development and analytics, i.e., data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. The ideal candidate should be able to work effectively with internal clients to understand their business needs, dissect complex problems, propose appropriate quantitative solutions, and develop data-driven products. The person should also be able to work cross-functionally to have the solutions implemented and provide thought leadership in different forums.ESSENTIAL JOB FUNCTIONS
Apply critical thinking skills and perform a broad range of quantitative analyses, including model development and ad hoc analytics
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building; proactively seek, build and consolidate new data inputs to improve model performance
Build and deploy prototype solutions to demonstrate ideas and prove concepts
Develop/manage internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance and monitoring
Document model development process and outcomes properly and support model validation and review to ensure models are in compliance with internal and external policies and regulations
Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency
Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations
Proactively develop and build technical skills and business knowledge
Effectively collaborate with compliance, technology, and risk partners
Develop presentations to summarize and communicate key messages to senior management sponsors and other stakeholders
Mentor junior team members when needed
Provide thought leadership in different forums and keep up with industry trends
REQUIRED QUALIFICATIONS
Intellectual curiosity, inquisitive nature and desire to deepen knowledge
Solid quantitative and programming background with Master’s degree in statistics, mathematics, economics, computer science, engineering, data sciences, predictive modeling, or other quantitative disciplines
5+ years of hands-on experience developing models using large data sets, preferably in scorecard and credit risk management model development
Excellent quantitative, analytical and problem-solving skills and solid knowledge of statistical analysis (regression, decision trees, clustering, scorecard modeling etc.) as well as machine learning algorithms to solve real world problems
Significant experience working with large scale structured and unstructured data
Solid understanding of credit bureau data
Hands-on work experience with statistical coding in Python, SAS, and or SQL
Strong written and oral communication skills, ability to translate technical observations to a non-technical audience
Knowledge of model risk requirements and processes, technology, and data analysis best practices
Good project management skills (clear goal setting, well-organized, detailed planning and prioritization, and ability to meet tight timeline deliverables)
Can work both independently and collaboratively
PREFERRED QUALIFICATIONS
Financial services industry experience preferred
Knowledge of and experience with cloud-based computing
Experience with creating credit decisioning models using open-source packages and AI/ML approaches
Experience with scorecard modeling tools
COMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $130,000 to $165,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.Please click here for a list of benefits for which this position is eligible.Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].#LI-Remote
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Financial Crimes Senior Data Scientist | Keybank |
Location:4900 Tiedeman Road - Brooklyn, Ohio 44144-2302ABOUT THE JOB (JOB BRIEF)Under Quantitative Analytics Sr. Manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.ESSENTIAL JOB FUNCTIONS
Under Quantitative Analytics Sr. Manager’s oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
Document model development process and outcomes properly and support model validation and review
Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
REQUIRED QUALIFICATIONS
Master’s degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
Hands-on work experience with statistical coding in SAS and/or Python
Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
#LI-RemoteCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $77,000 to $140,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligiblePlease click here for a list of benefits for which this position is eligible.Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].#LI-Remote
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Polling Data Scientist | Bluelabs |
About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Polling Team specializes in survey data collection to provide strategic advice to our clients. We work closely with client teams and data scientists to design and implement survey programs that power our analysis and messaging recommendations. Our focus is on understanding what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Operating in a fast-paced, impact-oriented environment, our collaborative team engages across teams in support of our clients’ objectives. We excel at defining complex challenges, creatively sourcing data, and driving progress every day. We work in changing, ambiguous environments, and are at the forefront of addressing the most challenging issues facing the survey research industry today.
About the Role:
A Polling Data Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focused on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently. The Polling Data Scientist is both a subject matter expert and a team leader. This position reports to the Director of Polling.
What You’ll Do:
Work with the Director of Polling on the design, implementation, and delivery of survey products and services
Develop and maintain internal software tools and systems to support the collection, processing, and analysis of survey data
Own the predictive modeling process from ingestion to deployment for key internal models
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Collaborate with data engineers and analysts to optimize data infrastructure and pipelines, ensuring efficient and reliable data flow
Assist in the design and execution of experiments and surveys, including sample selection, data collection, and weighting
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.
What We Are Seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Experience working with survey data, and a solid understanding of sampling techniques and survey design
Advanced understanding of Python. Experience with other statistical programming languages is also useful
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency
What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
The salary for this position is $80,000 annually.
The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability, pregnancy, or on an individualized basis in accordance with applicable laws.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law.
Collection of Personal Information Notice:
As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our fully Notice to Job Applicants, please click here.
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Senior Manager Sales Data Science And Analytics | Ezcater |
ezCater is the most trusted provider of corporate food solutions and is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.
ezCater is looking to bring on a seasoned Senior Manager to lead our Sales and Account Data Science and Analytics team leveraging our rich data assets to identify and drive new growth opportunities. This leader will lead and work alongside a team of Data Scientists and Analysts to create the models, metrics and data insights that drive our Sales programs and initiatives. Working with our Chief Revenue Officer and Sales and Marketing groups, the team will define the predictive and causal impact models to accelerate our customer acquisition programs. The Data Science and Analytics that powers our Sales programs includes everything from experimentation, data enrichment to lead scoring models and pipeline performance measurement.
Our ideal candidate will have proven, hands-on experience implementing a range of Data Science methods and integrating external data with experience driving the Data Science and Analytics behind a growth program. The role reports into the Chief Data Officer.
What You'll Do:
Partner directly with our Sales and Marketing leaders to develop, implement and improve the Analytics and Data Science across lead qualification, lead scoring, goal setting for “share of wallet”, sales pipeline insights and forecasting.
Oversee customer and prospect data and enrichment initiatives. Assess data quality and Partner with business to Identify new data sources to enrich our data. Partner with our Data Engineering team to direct development efforts.
Own and develop the strategic 6-12 month analytics roadmap and agenda to deliver against our biggest business opportunities.
Lead, manage, mentor, and develop a growing team of technical analysts and Data Scientists.
Develop scalable analytic processes, methods, and self-service tools to ensure other analysts and partners are empowered to make data-driven decisions
Guide and direct analysts’ deep-dive advanced statistical and data science analyses (e.g. predictive models, classification, etc)
Collaborate with all facets of the organization including engineering to identify, capture, access and stream the data you need to drive our business results.
What You Have:
Have 6-10 years experience in a relevant field, such as Sales analytics or data science, performing quantitative and technical analysis.
Strong preference for candidates with experience leading B2B Sales or Marketing Data Science and Analytics teams with track record of lead generation and measurement.
Past experience leading individual contributors and/or large projects with multiple contributors
Self-directed and demonstrated ability to define, prioritize, and direct Analytics and Data Science initiatives
Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap for a team.
Demonstrated proficiency in explaining complex analysis and models to stakeholders at all levels of the organization and translating conclusions into straightforward and actionable business terms.
Expert proficiency in python and experience with wrangling data from large data assets.
Expert conducting quantitative analyses on with large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI)
Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
The national cash compensation range for this role is $175,000 - $225,000*.
*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
ezCater does not sponsor applicants for work visas or legal permanent residence.
What You’ll Get from Us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.
ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.
For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.
#LI-Remote
#BI-Remote
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Data Scientist Consultant | Datakind |
DataKind is looking for a Data Scientist Consultant!
Objective
Nonprofit organization DataKind is requesting proposals from junior and mid-level data scientists.
Context
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges.
People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention.
Engagement Description
DataKind’s success ultimately comes down to the quality, timeliness, and effectiveness of our volunteer data science projects. Our Data Scientist Consultant will support a portfolio of internal and volunteer-led projects using cutting-edge technology to help high-performing organizations nation-wide make an even greater impact. In this highly visible and high impact role, you’ll assist teams with any challenges they might face in building sustainable solutions.
The Data Scientist Consultant will report to the Head of Data Science and will work closely with other staff and pro bono data scientists.
This is a full-time remote consultant role from mid July through end of November 2023 with a possibility of an extension. Due to the collaborative nature of the role, we require that the majority of working hours each day fall between 8am and 6pm Eastern Standard Time.
What You’ll Do
The Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:
Help manage data science and business intelligence products hosted by DataKind
Advance data science solutions beyond prototype phase
Carry out feasibility studies and exploratory analyses for proposed projects and areas of opportunity
Provide data science support for the portfolio of volunteer data science projects at DataKind
Advance internal analytics reporting and automation capabilities
The consultant should be willing to work a flexible schedule to meet on some nights or weekends with volunteer teams or to help run DataKind events.
Qualifications
At least 3 years of work experience, preferably including experience in a nonprofit or start-up context.
Fluency in data science technology stack including R/Python, SQL, Postgres, AWS, and related technologies.
Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
Comfort and skill in communicating highly technical information to semi- and non-technical audiences.
Proven track record of successfully managing full lifecycle tech/AI projects.
Experience managing technical teams and deliverables in the volunteer, non-profit or tech spaces (or perhaps all three.)
Ability to motivate people to collaborate towards a shared goal, to keep them engaged throughout the process, and to intervene as needed to make sure balls don’t get dropped.
Demonstrated customer service orientation that will allow you to represent DataKind well to our volunteers and partners alike.
Compensation
$75 - $150/hour
Based on the candidate’s level of experience.
Proposal
By 9:00 am ET on Friday, July 7, 2023, interested parties are requested to provide the following:
A resume describing relevant professional experience
A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed.
Two references (name, phone number, and email address) from similar work, including a brief description of each project scope
Selection
Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience and alignment with DataKind’s goals and budget.
DataKind is an Equal Opportunity Employer
DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States.
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Data Science Architect Google Cloud Presales | Rackspace |
In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the sales of our data projects on Google Cloud. Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with our sales team to propose solutions to customers to achieve business outcomes using Google Cloud.
This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.
Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered.
A key aspect of the role is to engage with customers early in their transformation journey to establish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.
You Will:
This is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.
You are responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
Is considered a thought leader and develops IP & collateral for data and analytics.
Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs.
Client Facing Sales Support – Works with sales account team, interfacing directly with the Rackspace prospects and customers.
Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions.
Develops High Level Designs and Architectures – Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.
Create Proposals – Develop proposals, SOWs (Statements Of Work), business cases and RFP responses,
Sales Planning – Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status.
Partner Relationship Management – Develop healthy and trusted relationships with key partners in the geography.
Intellectual Property Development – Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements etc.
Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead.
Training – Develop and execute a professional plan that will enhance skills.
Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects
Technical Requirements:
Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning
Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.
You have strong problem solving, analytic, decision-making capabilities and excellent communication with interpersonal skills.
You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.
Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.
You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies.
5+ years of experience as a data scientist and have applied industry experience in NLP/NLU, Forecasting and Anomaly detection solution development.
Other Requirements
Highly motivated self-starter and team player and demonstrated success in prior roles.
Track record of success working through technical challenges within enterprise organizations
Ability to prioritize deals, training, and initiatives through highly effective time management.
Excellent problem solving, analytical, presentation, and whiteboarding skills.
Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems.
Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations.
Education:
Bachelor's degree in Engineering, Computer Science, Information Systems, or Business required
Experience may substitute for the degree requirement at a rate of 3 years’ experience for 1 year of education.
High school diploma or equivalent required
Sponsorship:
This role is not sponsorship eligible
The following information is required by the Colorado Equal Pay Transparency Act and applies only to individuals working in the state of Colorado. The anticipated starting pay range of Colorado applicants for this role is $117,000-$188,500.
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on Benefits –offered.
#LI-VM1, #LI-Remote
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Data Science Trainee | Rackspace |
· To develop analytical models for insight generation that improves business decision making.
· Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
· Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
· Will contribute to data science team discussions, providing insight on current approaches and methods,
· Follows established MLOps practices in software development.
· Data science model selection and implementation.
· Working independently while collaborating well within the team.
· Have worked autonomously and delivered results on schedule.
Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
Proficient with machine learning and statistics
Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
Software development experience
Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
Excellent communication skills
Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
Participated in numerous data science projects.
Utilized several data science methodologies.
Attention to detail
Multi-tasking
Strong analytical skills
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Senior Product Analyst Senior Data Scientist Advertising | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
About the Team:
The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.
The UGC Pillar vision and mission is to inspire the world through stories and knowledge by being the largest and most accessible library that connects storytellers with their audience. Every month, hundreds of millions of people come to Scribd and SlideShare, our UGC products, to grow themselves personally and professionally.
About You:
You are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can balance big-picture objectives with attention to detail, and you possess a natural curiosity to explore complex problems and find innovative solutions
You Will:
• Collaborate with the product team to design and execute experiments, A/B tests, and multivariate tests to optimize and improve key metrics.
• Analyze large-scale datasets to extract actionable insights and identify growth opportunities.
• Develop statistical models and algorithms to understand user behavior, predict ad performance, and drive decision-making.
• Work closely with stakeholders to define and track key performance indicators (KPIs) and provide regular reports and dashboards to inform decision-making.
• Provide expert guidance on statistical methodologies, experimental design, and data analysis techniques to enhance the team's analytical capabilities.
• Partner with cross-functional teams, including engineering, product management, and product marketing, to drive the implementation of data-driven solutions and recommendations.
• Stay up-to-date with the latest advancements in data science, advertising technologies, and industry trends to identify opportunities for innovation and improvement.
You Have:
• A strong background in data science, with a focus on statistical modeling, experimental design, and data analysis.
• Proven experience working in the advertising industry
• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.
• In-depth knowledge of statistical techniques, such as regression analysis, hypothesis testing, and experimental design.
• Experience with machine learning algorithms and their application in advertising optimization is highly desirable.
• Excellent communication skills, with the ability to distill complex insights into clear and actionable recommendations for both technical and non-technical stakeholders.
• Strong business acumen and the ability to understand the impact of data-driven insights on key business objectives.
• A master's or doctoral degree in a quantitative field such as data science, statistics, computer science, or a related discipline is preferred.
• Ability to work independently and manage multiple projects simultaneously.
• Plus if you have experience with Looker and LookML
At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $113,000 [minimum salary in our lowest geographic market within California] to $183,250 [maximum salary in our highest geographic market within California].
Outside of California, the reasonably expected salary range is between $93,000 [minimum salary in our lowest US geographic market outside of California] to $173,750 [maximum salary in our highest US geographic market outside of California].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing [email protected] about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
#LI-Remote
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Data Scientist | Blastpoint |
Salary Range: $100-140K
Job Description
We’re looking for a thoughtful, curious, and resourceful Data Scientist to join our growing team. You’re comfortable presenting insights to clients, and thrive in situations where you have to learn about and solve a client’s specific problems. This role is the technical face that accompanies our clients’ experience working with us, meaning that you will be the person leading them to solutions by presenting project results, interacting with clients in a consultative manner, and supporting overall customer success. This is a fully-remote position with the option to work from our home office in Pittsburgh, PA, with occasional company meetings in-person.
Core duties include:
Architect, develop and deploy models and algorithms using customer, open source, and proprietary data; assess model quality, and validate and iterate on those models
Own the process of integrating customer data, analyzing it using our methodology and your data instincts, and make it deliver value to the customer
Evaluate the effectiveness and accuracy of public and private data sources, choose the right ones for our platform, and make them ready to sing harmony to a customer dataset’s melody
Help design and automate our customer dataset analysis and insights delivery process, to smoothly handle a wider variety and higher velocity of data
Act as the technical bridge between the customer and the product, making our tools useful, relaying product feedback, and customizing to a client’s needs where necessary
Leaning on your empathy and leadership skills, you will work with our clients in a consultative capacity, learning about their particular needs and being their advocate both internally and externally. That means participating in client meetings, leading technical discussions, presenting project results, interacting with clients in a consultative manner, and other technical customer-facing engagement, as needed.
We expect the balance of your work day-to-day to be 60-70% client project-centric work, 20-30% scripting to improve our shared data analytics tooling, and ~10% account management or support needs. The hope is that feedback from your client experiences can directly make our systems more efficient, and eventually more self-serve, reducing the need for clients to have consultative project teams at all.
Professional Requirements
2+ years of experience in data science or educational equivalent; strong preference for additional experience in software, R&D, consulting or adjacent fields
Bachelor’s degree or equivalent experience in computer science, mathematics, statistics, economics, or similar
Understanding of cluster-analysis techniques (e.g. K-means, DBSCAN, etc)
Excellent communication skills; comfortable with and effective at delivering presentations
Comfortable with Python and common accompanying tools including Pandas and Scikit-Learn
Deep understanding of statistics and other mindsets for building models from data; strong data acumen in translating business problems into supervised/unsupervised machine learning problems.
Experience in AWS/GCP/Azure and/or other cloud technologies
Comfort with relational database systems and SQL
Authorized to work in the United States
Preferred Skills and Experience
Expertise in developing data science pipelines, designing and implementing effective monitoring systems for machine learning models in production, and strong knowledge of MLOps
A passion for discovering the secrets and solutions hidden in large datasets
Highly attentive to detail, with a skeptical sixth sense about signal-vs-noise
Ability to self-motivate, self-organize and work independently in a challenging, fast-paced environment with several ongoing concurrent projects
A willingness and demonstrated ability to work collaboratively with a small team; excellent internal communication skills
A can-do mentality, with the willingness to roll up your sleeves and take initiative to solve something when necessary
Knowledge of a wide variety of machine learning and statistical analysis techniques, their advantages and drawbacks, and areas of best applicability
Familiarity with machine learning approaches for time series forecasting and natural language processing (NLP)
Curious and eager problem solver, willing to bring new ideas to the team and advocate for best practices, and able to self-teach new skills when needed, with a hunger for building well-designed, high quality solutions
Recognition that there are always multiple answers to a problem and the ability to engage in a constructive dialogue to find the best path forward
Some experience with ETL processes or Data Prep tools is helpful
Experience in or exposure to the constraints of a startup environment is helpful
Ability to commute to the Pittsburgh, PA office quarterly, for company-wide meetings, and to travel to client sites when occasionally necessary for a project
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Data Scientist | Agero |
Job Summary:
Agero is currently seeking a talented Data Scientist to join our team. This role provides an exciting opportunity not only to harness the potential of large datasets to drive business growth and develop strategic insights but also to shape your career path towards becoming a key decision-maker. We are passionate about fostering a data-centric culture and encourage innovative thinking. If you are someone who thrives on uncovering insights from numbers and influencing business decisions through data, we would love to hear from you.
Key Outcomes:
Design, develop, and implement predictive, descriptive, and prescriptive models that could drive strategic decisions in various aspects of the business.
Analyze complex datasets, identify patterns, trends, anomalies, and derive actionable insights.
Collaborate with cross-functional teams including Data Engineers, Business Analysts, Product Managers, and other stakeholders to identify opportunities for leveraging company data to drive business solutions.
Present findings and data-driven recommendations to non-technical stakeholders and executive leadership.
Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.
Develop and implement data collection methodologies and data quality assurance processes.
Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
Create data visualizations, reports, and dashboards to effectively communicate findings and recommendations to stakeholders.
Stay updated with the latest advancements and trends in data science and analytics.
Qualifications:
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field.
Proficient in Python, R, SQL, and data visualization tools such as Tableau or PowerBI.
Knowledge of data visualization tools, such as Tableau, Power BI, or D3.js.
Experience in statistical techniques such as Regression, Hypothesis Testing, Natural Language Processing, Machine Learning algorithms.
Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
Excellent communication skills to present findings and insights to non-technical stakeholders.
Attention to detail and the ability to work independently as well as part of a team.
Proven ability to comprehend business strategies and objectives, translate business needs into analytical projects, and derive actionable insights to positively impact business performance.
Preferred Qualifications:
Experience with big data technologies and distributed computing frameworks, such as Hadoop or Spark.
Knowledge of natural language processing (NLP) and text mining techniques.
Experience with cloud platforms, such as AWS or Azure.
Familiarity with data engineering processes, including data extraction, transformation, and loading (ETL).
Previous experience in a technical role or experience at a top-tier professional services or leading technology company.
Hiring In:
United States: AZ, FL, NC, IL, KY, MA, MI, NM, TN, and VA
Canada: Province of Ontario
#LI-REMOTE
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Staff Data Scientist | The Kraft Heinz Company |
General information
All posting locations:
Remote, Illinois, United States of America
Job Function:
16 - Digital
Date Published:
09-Jun-2023
Ref #:
R-70948
Base Salary Range:
$110,200.00 - $137,800.00
Target Total Cash Range:
$148,770.00 - $186,030.00
Target Total Cash:
Target total cash represents this role's annualized cash earning potential at target (base salary + target bonus). Target total cash is contingent on targeted company performance achievement and individual attainment of performance goals. Therefore, target total cash is not guaranteed earnings. In addition to base salary and bonus, this role is eligible for additional compensation in the form of equity.
Compensation Disclaimer:
The compensation offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
Description & Requirements
As a ‘Staff Data Scientist’ you will be lead data science function all across-multiple functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
•Lead the data science function across various agile pods•Work with the data scientists on your team to develop- own- implement and deploy state of the art machine learning algorithms and other predictive models which will service as a guiding light for change and improvement.•Work with your data science team and own selection- enhancements and integration of disruptive technologies (AI/ML- Automation- Optimization) focused on fundamentally transforming the way in which we operate.•Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges.•Coach other Data Scientists and Associate Data Scientists and drive technical best practices.•Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges.•Evangelize the value of data-driven decision-making.•Hire and develop the best data scientists in the CPG industry•Continue your growth and serve as a leading expert in the Data Science community.
WHO YOU ARE •You have a bachelor's in data science- Computer Science- Engineering- or Statistics with 4 or more years of experience. Advanced degree in Data Science or related field ideal.•You have mastery in Python and/or R and other languages.•You have expertise in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.•You have experience building owning full cycle end to end model deployment.•You have proven expertise in Big Data technologies such as Apache Spark- Snowflake and/or Hadoop.•You have proven expertise in cloud technology like Azure- AWS- Cloudera- GC.
About Us
Kraft Heinz is a global food company with a delicious heritage.
With iconic and emerging food and beverage brands around the world, we deliver the best taste, fun and quality to every meal table we touch.
We’re on a mission to disrupt not only our own business, but the global food industry. A consumer obsession and unexpected partnerships fuel our progress as we drive innovation across every part of our company.
Around the world, our people are connected by a culture of ownership, agility and endless curiosity. We also believe in being good humans, who are working to improve our company, communities, and planet.
We’re proud of where we’ve been – and even more thrilled about where we’re headed – as we nourish the world and lead the future of food.
Why Us
We grow our people to grow our business. We champion great people who bring ambition, curiosity, and high performance to the table as the guardians of our beloved and nostalgic brands.
Good isn't good enough. We choose greatness every day by challenging the ordinary and making bold decisions. All while celebrating our wins - and our failures – as we work together to lead the future of food.
Challenging the status quo takes talent. We invest in your purpose and potential by developing skills and nurturing strengths that leave a legacy on our business and a lasting impact on your career. Because great people make great companies, and we’re growing something great here at Kraft Heinz.
Office Collaboration & Hybrid Work Environment
We believe our office environment fuels our collaboration, connection & community as an organization and allows our employees to grow toward greatness. We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week. Additionally, employees who are subject to this hybrid model will be eligible to work from anywhere for up to six weeks in a rolling 12-month period (in maximum two-week increments and according to benefits and tax guidelines). Some jobs may be required to be performed fully in office depending on the role’s responsibilities and requirements.
Kraft Heinz is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact [email protected].
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Senior Data Scientist | The Kraft Heinz Company |
General information
All posting locations:
Remote, Pennsylvania, United States of America
Job Function:
16 - Digital
Date Published:
13-Jun-2023
Ref #:
R-71048
Base Salary Range:
$96,800.00 - $121,000.00
Target Total Cash Range:
$121,000.00 - $151,250.00
Target Total Cash:
Target total cash represents this role's annualized cash earning potential at target (base salary + target bonus). Target total cash is contingent on targeted company performance achievement and individual attainment of performance goals. Therefore, target total cash is not guaranteed earnings.
Compensation Disclaimer:
The compensation offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
Description & Requirements
WHAT YOU’LL DO
As a Senior Data Scientist- you will be a core member of one of our nimble- cross-functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science- Computer Science- Engineering- or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.You have an aptitude in Big Data technologies like Hadoop- Spark- or distributed databases like Redshift and Snowflake.
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Senior Data Scientist | Trueml |
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
The Opportunity:
You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.
What You'll Do:
Independently lead end-to-end data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.
What We're Looking For:
Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred.
Minimum 5+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects
Strong foundational skills: Python, pandas, SQL
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
$140,000 - $168,000 a year
Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
Benefits, Perks, and Culture
- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab with employer contribution matches
- Flexible Spending Account & Limited FSA
- Short + long term disability, company paid life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
|
Data Scientist Ii | Trueml |
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
The Opportunity:
You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.
What You'll Do:
Independently support data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.
What We're Looking For:
Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred.
Minimum 2+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects
Strong foundational skills: Python, pandas, SQL
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
$124,000 - $149,000 a year
Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
Benefits, Perks, and Culture
- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab with employer contribution matches
- Flexible Spending Account & Limited FSA
- Short + long term disability, company paid life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
|
Data Scientist Pxt Solutions | Amazon |
DESCRIPTION
Job summaryCome join the team that's won two Just Do It Awards and was recently featured during the April All Hands. Amazon's People Experience and Technology (PxT) Solutions team is seeking a Data Scientist to build machine learning and statistical models, using our world class data systems, to identify patterns in people data. The ideal candidate will thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. This role goes beyond just model generation and you will be expected to integrate the results of the models into our world class web portal.An ideal has extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.
BASIC QUALIFICATIONS
· Bachelors Degree with 5 years of experience· Experience in SQL and R, or Python· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis· Knowledge of various machine learning techniques and key parameters that affect their performance· Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations· Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects· Excellent written and verbal communication skills for both technical and non-technical audiences
PREFERRED QUALIFICATIONS
A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)· 10+ years of experience working in data science in a consumer product company.· 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists.· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet.· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language.· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.· Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases.· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Data Scientist | Earnest |
At Earnest, we believe in a world where paying for your education takes less time than earning your degree. Join us on our mission to empower anyone seeking higher education to reduce the total price tag of their degree, supercharge their ability to pay down student debt, and get on the right financial track fast.
A little background on Earnest: We're a remote first FinTech company with an accomplished team who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to:
Build products that simplify the lending process
Personalize loans to suit the needs of our customers
Engage with our customers through more human experiences
What makes an “Earnie” culture:
Earnest’s culture is as dynamic as the products we’re building and defining every day. We’re a fast-growing company, and that means we’re constantly integrating the new perspectives of every individual.
Earnies define our culture as:
Earn Happy Clients
Client happiness is our true north star.
Make it happen
We work hard to deliver high-impact results at rapid pace.
Growth Mindset
We love challenges, enjoy rigorous effort, and learn from our mistakes as we continuously improve.
Do great things together
Success is built on relationships.
Insist on high standards
We have relentlessly high standards and continuously raise the bar on the quality of everything: our products, services, processes, and people.
Our Earnie's are fun, innovative, and willing to rollup their sleeves to help their team succeed in a fast-paced environment. If this sounds like you, and you want to join us on our mission to radically disrupt a trillion dollar fintech industry, keep reading to find out how.
As a Data Scientist, you will report to the Lead Data Scientist and work closely with our Growth and Product teams and other members of the Data team on a variety of areas such as pricing optimization, experimentation, forecasting and credit risk models. The role involves close collaboration with data engineers as well as product and marketing teams. This position will also focus on designing experiments and deriving causal inferences from experimental results.
What you’ll do:
Depending on the project, you would:
Develop and support financial loan pricing and conversion optimization models
Build forecasting models on both product demand and internal operations backlog
Optimize product conversion by running A/B tests and other experimentation methods on our pricing, marketing and product models
Research and prototype models and present in model review sessions
Work with data and infrastructure engineers to deploy your model or develop required data pipelines to automate training and monitoring with BI tools
Prepare technical design and git/confluence documentation
Work with general managers, marketing and operation teams to identify and address their data modeling needs for better forecasting and planning
Ideal background and expertise:
2+ years in R/Python and SQL
2+ years professional experience in model development and/or data analytics (or Master's degree in Data Science, Operations Research, Industrial Engineering, Economics or a related quantitative field with 1+ years of professional experience in model development and analytics)
Expertise in statistical inference
Experience in product analytics and experimental design
Deep understanding of classification, regression and forecasting models and AB testing
Experience working in a cross-functional environment with teamwork and excellent communication skills
Bonus to have:
Understanding of financial metrics and bond markets
Understanding of econometrics and elasticity in pricing optimization
Experience with convex optimization
Experience with BI tools such as Looker, Tableau, PowerBI, etc.
Machine learning modeling experience
Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits that include:
Health, Dental, & Vision benefits plus savings plans
Work anywhere in the U.S.
Mac computers + work from home stipend to set up your home office
Monthly internet and phone reimbursement
Employee Stock Purchase Plan
401(k) plan to help you save for retirement plus a company match
Robust tuition reimbursement program
$1,000 travel perk on each Earnie-versary to anywhere in the world
Competitive days of annual PTO
Annual “my day”
Pet insurance!
Competitive parental leave
Plenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual events
At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
#LI-SO1
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Data Scientist Machine Learning And Algorithms Risk Management | Binance |
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Data driven based business is the core in helping to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.
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Data Scientist | Outside Magazine |
Outside Interactive, Inc., the premier hub for active lifestyle enthusiasts, offers best-in-class content and experiences to more than 70 million of the world’s most passionate outdoor, wellness, and endurance enthusiasts every month. We inspire a broad and diverse audience to do the activities they love with great enjoyment, inspiration, and knowledge and are dedicated to making real change in the outdoor and fitness industries. Day after day, story after story, Outside Interactive, Inc., proves that a hike, a climb, a run, a ride, a day skiing, or a yoga practice can change lives - and change the world.
We are looking for a savvy data expert who will craft the data vision for Gaia GPS and help build the future of outdoor maps. The hire will be responsible for expanding and optimizing our data ecosystem to provide insights across the company, working with teams to build ideal architecture, and optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder, wrangler, and analyst who enjoys optimizing data systems and building them from the ground up. The Data Scientist will support every arm of Gaia GPS on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products, data initiatives, and measuring core KPIs. The position will balance the responsibilities of building all data reports/insight for Gaia GPS core metrics while working with larger Outside Inc to blend massive data pipelines.
This job is 100% remote, and the team has been remote for 7+ years.
Your Impact:
Lead data voice across Gaia GPS, providing direction for all data-driven efforts.Create and maintain optimal data pipeline architecture using best practices.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.Work with stakeholders including the Executive, Product, Data, Marketing, and Design teams to create data plans for measuring product success, monitoring performance and powering product roadmaps.Extract actionable statements from data.
Your Qualifications:
Advanced working SQL knowledge and experience working with relational databases, query authoring(SQL) as well as working familiarity with a variety of databases.Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.Experience performing root cause analysis on internal and external data and processes to answerspecific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workloadmanagement.A successful history of manipulating, processing and extracting value from large disconnecteddatasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.We are looking for a candidate with 5+ years of experience in an Data Scientist capacity and the followingsoftware/tools:Experience with large-scale distributed analytics platforms and toolingExperience with relational SQLExperience with Amazon Web Services cloud servicesExperience with object-oriented/object function languages: Python, Java, C++, Scala, etc.Experience with Postgres and PostGIS for geospatial analysis a plusExperience building dashboards using tools like Tableau, Mode, or Google Data Studio a plus
Preferred Qualifications:
Minimum 5+ years professional experience.You can work independently to recognize areas where you can contribute your skills as well as responding to the data needs of various departments across the company.You love to deep dive into a problem, utilize tools from different data sources and synthesize your findings in a comprehensive way to provide insight and reveal patterns that will help steer maps and product development.You thrive on collaboration and have a proactive attitude.You have strong project management and organizational skills.You have a passion for maps and want to apply your Data Scientist expertise to help improve Gaia GPS and better enable people to experience the outdoors.
Why you'll love working at Gaia GPS:
We are passionate about outdoor and active lifestyle participants and live the lifestyle ourselves.We are a technological and data-driven business.We are committed to active lifestyle participants and will provide them with the world’s most personalized content that inspires and motivates. them by understanding them better than any platform in the world.We love solving problems, thinking creatively and trying new things.We believe in autonomy and taking initiative.We take what we do seriously. We don’t take ourselves seriously.We have a smart, experienced leadership team that wants to do it right and is open to new ideas.Gaia GPS has a software culture where marketing, support and management folks also code to improve apps and help with the product.You will be proud to say that you work for Outside, Inc./Gaia GPS and will know that the work you do brings joy to our clients everyday.
Entirely remote jobs that could be performed in Colorado: Employees can expect to be paid a salary of between $90,000 to $115,000. Additional compensation may include a bonus or commission . Additional benefits include health care, vision, dental, retirement, Flexible Time Away, sick leave, and more. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors
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Sr Data Scientist | Personal Capital |
Grow your career with a growing organizationWhether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that’s hard to beat. And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now.RoleYou will provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions. You will perform exploratory and detailed analysis of large data sets and present the analysis to stakeholders. You will maintain and create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations. Candidate We are searching for someone innovative. Someone who can think outside of the box, understand our financial services business, and advocate visionary and new ideas. Further, the ideal candidate will be self-motivated, work well autonomously as well as with others, possess solid critical thinking skills, hold the ability to synthesize complex problems and develop programs to apply data science concepts to improve business efficiencies. Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions. Qualifications
5+ years of professional experience as a data scientist
A Bachelor/Master of Science degree in Computer Science, Operations Research, Statistics, or another quantitative discipline. A Master/PhD's degree is an added bonus.
Experience with statistics and/or applied math as the basis for selecting appropriate models and experiments.
Experience with data science projects from end to end, starting with problem formulation to model development in production.
Experience utilizing conventional machine learning and deep learning libraries, in particular scikit-learn and keras.
Experience developing data pipelines and feature engineering in Python, R or other equivalent programming languages.
Experience working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL.
Experience mentoring Data Scientists
Demonstrated ability to collaborate with stakeholders, understand requirements and translate them into solvable problems via Data Science/Machine Learning
Experience with all phases of software development life cycle.
Familiarity with machine learning techniques and classification algorithms.
Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, PySpark, HDFS, Hive)
Strong programming experience in at least one programming language, preferably Python.
Experience utilizing machine learning platforms such as Amazon SageMaker is a plus.
Please note that this role is being posted by Personal Capital, an Empower company. Personal Capital roles are cross-posted to the Empower web site and are also available at https://www.personalcapital.com/company/jobs. For more information about Personal Capital, please visit www.personalcapital.comWhat we offer youWe offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 5%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus nine paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.
The salary range below describes the minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.Base Salary Range$ 113,200.00-181,200.00LocationCA RemoteWe are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
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Sr Operations Research Data Scientist | Rei |
REI’s Enterprise Data Science team is seeking a Senior Operations Researcher with deep experience using Data Science and Optimization approaches to solve complicated optimization problems across the organization such as Demand Forecasting, Transportation/Last-Mile, Network Design, Simulation and Revenue Management to name just a few.
This role will analyze REI’s multi-channel supply chain end-to-end, identifying the biggest opportunities developing plans for system-wide optimization of cost, throughput, and customer experience to the benefit of our members and society. This is a unique opportunity to have a major impact on REI’s bottom line and continued success helping people get outside while improving our environmental and social mission!
Responsibilities:
Provide strategic thought leadership for the subject of supply chain optimization. Significant influence into strategy and cross-team impacts Engage broadly with the business and operational leaders to frame, structure, and prioritize optimization across our multi-channel retail supply chain Perform large-scale statistical research, analysis, Data Science, and modeling across various phases of the Supply Chain -- from Forecasting and allocation through last-mile delivery Design and deliver optimization algorithms and science-driven data products, working with colleagues to develop and deploy software as is feasible and solves critical business problems Work within a close-knit team of Supply Chain Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group Build sophisticated simulations that will enable business leaders to make trade-off decisions given the constraints
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Data Scientist Ml | Quartet Health |
Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
About the team & opportunity:
As a Data Scientist at Quartet, you will work on a range of projects -- developing statistical analyses to study impact of Quartet interventions; predicting mental health needs among populations; building machine learning models to suggest timely and appropriate behavioral health care interventions for patients. You’ll develop a deep understanding of Quartet interventions and the predictive models and algorithms.
You will design and develop effective models, features, and algorithms involving multiple datasets, including user activity, Electronic Health Records (EHR), admissions, discharges and transfers (ADT), medical claims, pharmacy claims, and lab test claims. Leverages knowledge of computer science, machine learning, data mining and software architecture to build high-quality data products. Supports the design of Quartet products, including: an entity resolution and de-duplication library for linking patients and providers data, which is collected from multiple sources; a machine learning application for the detection of opioid use disorder in patients using supervised learning and deep learning; and an optical mark recognition (OMR) computer vision application for transcribing paper assessments.
Accountabilities:
Research and develop machine-learning and statistical models in Quartet Health’s platform to improve software personalization and recommendations for users
Drives a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
Performing ML research, exploratory data analysis, and computer-vision modeling; developing model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift
Develop general-purpose frameworks to support machine learning applications in production.
Minimum Qualifications:
1-2 years experience as a data scientist.
Formal training in statistics and computer science.
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
Strong data transformation and extraction skills with SQL databases.
Strong statistical programming skills in both Python and R.
Comfort/self-sufficiency with Amazon Web Services infrastructure.
Comfort/self-sufficiency with Linux command line.
Comfort/self-sufficiency with git for version control.
Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance.
Ability to clearly communicate across disciplines and work collaboratively.
Experience with any of the following: Docker, TensorFlow, Keras, Numpy, Scipy, Pandas, Gensim, Scikit-learn, NLKT, Jupyter
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. [email protected]). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: [email protected].
Have someone to refer? Email [email protected] to submit their details to us.
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Data Scientist | Hubspot |
At HubSpot, we use data to power our decisions, systems and product solutions. We’re seeking an experienced data scientist to deliver that insight. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future.
Objectives of this Role
Collaborate with product design and engineering to develop an understanding of needs
Research and devise innovative statistical models for data analysis
Enable smarter business processes—and implement analytics for meaningful insights
Keep current with technical and industry developments
Role Objectives/Responsibilities
Work as the lead data strategist, building models to improve internal efficiency and customer experience
Work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills and Qualifications
Degree in statistics, applied mathematics, or related discipline
5+ years experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Advanced use of SQL, R, Python
Experience with machine learning models
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Preferred Qualifications
Master’s degree in stats, applied math, or related discipline
2+ years of project management experience
Professional certifications
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
In September 2021, the US government issued new federal vaccine guidance that certain government contractors must adhere to. HubSpot is a covered federal contractor and so, based on this guidance, our US-based employees are required to be vaccinated, and show proof of vaccination, by January 18, 2022. What does this mean for you as a candidate? It means that if you were to join HubSpot, you would need to be fully vaccinated by January 18, 2022 or by your hire date (whichever is later) to be eligible to start in the role. As a condition of employment, you would need to submit official COVID-19 vaccine documentation. HubSpot will consider and review reasonable accommodation requests based on medical or religious grounds for qualified candidates.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #4 Best Place to Work on Glassdoor in 2021, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.
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Data Scientist Promotion Strategy | Stitch Fix |
About the Team
At Stitch Fix, our data science team combines artificial intelligence together with expert-human judgment to generate innovative recommendations and insights that help our clients look and feel their best. The client relationship team focuses on building algorithm-driven product features with the goal of deepening the relationship between clients and Stitch Fix. Examples of some of the projects we work on include enhancing the way clients communicate with stylist about their needs and inspirations, flexing our service to match clients’ changing circumstances, and enabling clients to discover similar and complementary items they’ll love.
About the Role
This role will work in close partnership with Engineering, Product, and UX to develop algo-driven product experiences
You're excited about this opportunity because you will…
Prototype, test, and deploy algorithms that continue to improve upon the user experience
Work in a collaborative, production-facing codebase that has close coupling with engineering systems
Conduct experiments to show causal impact of new ideas or implementations
Effectively communicate and share results with both technical and non-technical cross-functional partners
We’re excited about you because…
You have 3+ years of experience implementing/designing machine learning algorithms
You have experience with coding/algorithm implementation
You have a creative, problem-solving mindset
You are able to work with both technical and non-technical partners (presentations, expectation management, getting people on-board with ideas)
You are interested in both collaborative ownership of a code-base as well as self-ownership of a capability
Why you'll love working at Stitch Fix…
We are a group of bright, kind and challenge-motivated people. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation.
We are a technology and data-driven business.
We are committed to our clients and connected through our vision of “Transforming the way people find what they love.”
We love solving problems, thinking creatively and trying new things.
We believe in autonomy & taking initiative.
We are challenged, developed and have meaningful impact.
We take what we do seriously. We don’t take ourselves seriously.
We have a smart, experienced leadership team that wants to do it right & is open to new ideas.
We offer competitive compensation packages and comprehensive health benefits.
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day.
About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:https://www.stitchfix.com/privacy/usrecruitingprivacy
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Data Scientist Operations | Stitch Fix |
About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgement to generate innovative recommendations, insights, and solutions that transform the way clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership.
About the Role
As a Data Scientist on our team you will use a combination of Operations Research and Data Science methods to optimize fulfillment at Stitch Fix. The systems you build will directly impact where, when, and how we fulfill orders for our clients and balance trade-offs between client experience and business objectives to drive long-term growth. You will collaborate with other data scientists and business partners to enable new products and fulfillment strategies while promoting predictability and efficiency of existing operational processes.
You're excited about this opportunity because you will…
Develop novel algorithms, systems, and frameworks to drive operational decisions that span multiple functions within the business
Use data-driven approaches to identify trade-offs between business objectives including efficiency, cost, and customer satisfaction
Communicate complicated concepts to a wider audience - both data scientists and broader business partners
Work with a variety of cross-functional operations and business teams to define key objectives and design processes that bring new value to our clients and support business growth
We're excited about you because you have…
Several years experience in a data science, ML or operations research role (demand planning, supply planning, capacity management, operations)
Practical experience with Python and building end-to-end solutions, and are comfortable developing code both for quick prototypes and for systems that must be maintained in production for many years
A deep understanding of business processes and have experience working with people with different backgrounds, priorities, and responsibilities
The ability to explain complex concepts well and move decisions forward in collaboration with business partners
An inquisitive nature, and the ability to scrutinize functional efforts through the lens of improving the client experience and the business
An advanced degree in a quantitative field such as Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, and/or Computer Science
Why You'll Love Working at Stitch Fix
We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don't take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
About Stitch Fix
Stitch Fix is redefining retail shopping using a unique blend of art and science to deliver a deeply personalized service to our customers. This novel juxtaposition—at once analytic and artistic, technical and adventurous—attracts an extraordinary collection of talented people who are both thinkers and doers. Our diverse workforce has catalyzed enormous company growth over the past three years in terms of customer satisfaction and service efficacy. We’d love for you to help us carry on the trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy
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Senior Data Scientist | Momentive |
Who we are and what we do
Momentive (NASDAQ: MNTV) (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. Learn more at Momentive.ai.
More about our Business Data Science Team
Our Business Data Science team builds Insights and data solutions for different partners(sales/finance/marketing/customer success) to make informed business important decisions. We are looking for a Sr Data Scientist who will design data science projects including experimentation, Survival Analysis, Topic modeling, and classifications. You will report to our Sr Manager, Business Data Science team.
What we're looking for
You will apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, and build scalable machine learning models. You contribute to each layers of a data solution – you partner with teams, work with business intelligence engineers and Data Engineers to obtain relevant datasets and prototype predictive analytic models.
You will
Work with product managers, data engineers, other data scientists, and business leadership to Identify customer and business problems.
Translate business problems into mathematical problem statements and form hypotheses that can be answered with data using scientific methods
Design statistics and ML models to guide business transformation and growth.
Guide and establish scalable, efficient, automated processes for large-scale data analyses, model development, validation and implementation
Identify business opportunities and insights and provide solutions to shape important business processes based on data, industry best-practices, and collaboration with other teams.
Work with the Data Engineering team and create production implementations for large-scale data analysis and ML models.
You have
Master's degree in a quantitative field: Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research,
7+ years of hands-on industry experience in predictive modeling and analysis, multivariate statistics, data modeling, deep learning, as an ML engineer or data scientist.
Scope out business problems, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform analysis and draw conclusions relevant to the business problem.
Coding skills - with Python or R, Experience with data analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical research science, regression modeling, forecasting).
Experience managing large, varied Data Sets
What we offer our employees
Momentive is a place where the curious come to grow and shape what's next. By embedding inclusion into our processes, policies, and culture for our 1,400+ employees across North America, Europe, and APAC, we're building a workplace where people of every background can excel. We've won multiple awards and received recognition for our forward-looking policies, including extended parental and bereavement leave, vendor benefits standards, and Take 4 sabbaticals.
Momentive is featured as a Glassdoor 2021 Best Place to Work and National Capital Region's Top Employer in Canada (2021). In 2020, Momentive was recognized as a top place to work by Glassdoor Best Places to Work, Fortune Best Places to Work in the Bay Area, Parity.org's Best Companies for Women to Advance, and National Capital Region's Top Employers in Canada. Momentive has consistently been recognized by Great Place to Work® and Fortune as a top workplace since 2018, and we have also won numerous awards as a leader in global survey software, including being named among the G2 Best Software Companies, CNBC's Disruptor 50, and the Forbes Cloud 100.
Our commitment to an inclusive workplace
Momentive is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Learn more about our diversity, equity, and inclusion efforts here.
#LI-remote
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Data Scientist Ii | Vimeo |
Vimeo is looking for a Data Scientist to join the Video Insights team.
Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. Video Insights team delivers services and products that help Vimeo users make effective videos, by applying Artificial intelligence (AI) technologies connecting between video content and it’s online performance .
It is a great opportunity to join a core founding team and take part in shaping the AI movement within Vimeo.
What you’ll do:
Work closely with Researchers, Data Analysts and Product to build tools that provide insights on how content of videos is correlated against relevant video performance metrics.
Analyze diverse datasets and implement statistical and machine learning models to extract actionable insights on user and content behavior as well drivers of key business and product metrics
Be part of a cross-functional team, providing the best practices in data science for the team and across the organization.
Partner with relevant teams to deploy outcomes, as well as monitor KPIs and model performance in production.
Skills and knowledge you should possess:
3+ years of experience as a Data Scientist, with a M.Sc/B.Sc in a relevant quantitative discipline.
Experience with Hypothesis testing, A/B testing, Bayesian inference, time series modeling, linear and non-linear regression, clustering and classification, as well as statistical and machine learning methods.
Ability to understand and work with weakly defined problems, refine definitions and come up with actionable solutions.
Fluent in Python especially with the standard third-party libraries (numpy, scipy, sklearn, statsmodels, pandas, matplotlib, etc.), SQL, large scale systems.
Experience in working with large data sets.
Good communication skills and ability to work in a cross-functional team.
Bonus Points:
Experience with Deep Learning Frameworks such as TensorFlow, Pytorch.
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Data Scientist | Clyde |
DescriptionWhat’s Clyde - Clyde is an end-to-end product protection platform that is rethinking the way retailers increase loyalty and drive revenue, and the way customers manage their purchases. We are tackling the $50B per year extended warranty market and becoming the de facto solution in the space by leveraging an intense focus on product, design, and customer experience. Clyde delivers product protection plans directly to consumers as they shop, owning the relationship from purchase to claim submission to resolution. We know that the relationship between retailers and their customers is far from over after checkout so we’re building products to deliver value at every stage of this relationship. We’re looking for a thoughtful, results-oriented Data Scientist to drive the development of Clyde’s data and analytics capabilities as we take the business to its next stage of growth. While Clyde is based in NYC, this position can be remote. As a data scientist at Clyde, you will play a pivotal role in the company as you design, deploy, and refine predictive models in collaboration with a talented engineering, product, and go-to-market teams. This position reports directly to the Director of Data Science and Analytics. An opportunity to... Develop algorithms to predict key metrics, inform pricing decisions, automate operational processes, and identify new business opportunities Scope and deliver product requirements in partnership with cross-functional stakeholders using a combination of experimentation, intuition, and consensus-building Derive business insights and make product recommendations via merchant and end consumer segmentation analysis, merchant cohort analysis, and other deep-dive analysis Identify additional data sources that need to be collected to solve relevant business problems and collaborate with the engineering team on ETL work Communicate problems and solutions at both a high-level to non-technical stakeholders and a detailed level to technical stakeholders to ensure that we are tracking and looking at data in a consistent manner and speaking a common vernacular Create robust, clean workflows and documentation that helps teammates understand and replicate work Requirements 4+ years of experience in Data Science role with a strong track record Advanced degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics or Engineering) Strong technical skills, including proficiency in SQL and Python Combination of analytical rigor, resourcefulness, and intellectual curiosity Excellent communication skills Focused desire to use data to improve the product and user experience Proven ability to succeed in both collaborative and independent work environments Nice to Have: Experience with business intelligence tools, such as Looker or Mode. Experience with Natural Language Processing (NLP) algorithms and models BenefitsWho are we?Clyde is a product and design led organization founded in 2017 in NYC by a customer-obsessed team of designers, engineers, operators, and successful former founders. We have partnered with some of the top investors in the world to help us achieve our vision.Why should you join us?Clyde is building an incredibly thoughtful suite of products with enormous potential. We are a highly resourceful, motivated, and collaborative team, and we value diversity of all kinds. We hold ourselves to the highest standards. Clyde does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. All members of our team will have ample opportunities for professional growth, plus, we offer competitive salaries and equity packages, health insurance, unlimited time off with a mandatory 10 days, and a creative culture. We are building a really exciting company and can’t wait for you to join us.
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Data Scientist Ii | Acorns |
Data Scientist II | Acorns
Acorns is how everyday consumers can save & invest for the long term. By putting tools of responsible wealthmaking in everyone’s hands, Acorns has become the largest subscription service in U.S. consumer finance, serving millions of everyday Americans subscribers. Customers get automated investing in diversified portfolios, built with help from experts like Nobel Laureate economist, Dr. Harry Markowitz. Acorns easy retirement account allows customers to invest for a better life later in minutes, no expertise required. To help everyone spend smarter, Acorns introduced banking that invests with every swipe, and cash-forward rewards. And, everyday Americans may invest in their kids and get money news they can use, all from the same app. Customers have invested billions with Acorns, much of it in spare change. From acorns, mighty oaks do grow!
The Acorns Data Science team is growing. Acorns is actively seeking a motivated, detail-oriented, and solution-focused Data Scientist II who will report to the Head of Data Science. The data science team is focused on solving problems that directly affect customers and the Acorns business, including allocation, personalization, growth propensity, retention, and fraud and risk detection. We know that solving problems with data is an art and a science. Data Scientists at Acorns are as good at communicating and collaborating as they are at building machine learning solutions and writing code. At Acorns, Data Scientists have broad latitude around data and you will collaborate with groups including: Analytics, Engineering, Product Management, Marketing, Operations, Risk, and Business Development.
This role has the option to be remote or based in our Irvine or New York offices.
You are not expected to have experience with all listed requirements. If you feel passionately about Acorns' mission, vision and values, please apply.
Within 1 month, you will:
Learn Acorns products, data warehouse, and how data fits into the products.
Become familiar with the DS processes and tools.
Meet people across the company with whom you would likely work.
Within 3 months, you will:
Become integrated into the process of building models and DS solutions.
Work on a model development or Data Science Solution with a colleague.
Make production quality code commits into the team’s repository.
Within 6 months and beyond, you will:
Carry out well-defined data science projects of minimal scope, including building and evaluating predictive models.
Be capable of completing all parts of a model development including data validation, feature generation, sampling, feature selection, generating performance definitions, and analyzing performance.
Contribute to development of design documents.
Complete standard data investigations and determine suitability of data for DS efforts.
Be responsible for the quality of their own code, ensuring that it has sufficient test cases and comments.
Contribute to the creation and documentation of the model package.
Mentor junior members of the team through DS approaches used at Acorns.
Actively participate in discussions on new technical approaches by asking relevant questions.
What you will bring to Acorns:
Empathy for our customers’ financial situations and the desire to help our customers in need of personalized products and services.
The ability to uphold the values of transparency, honesty, and support for the team.
An ability to explain complex problems in a simple way.
Capability to build algorithms that touch statistics and machine learning.
Knowledge of scalable and efficient methods for large scale data analysis and model development.
Pride in your work.
MS / PhD in a relevant field.
Relevant fields include: Computer Science, Data Science, Engineering, Mathematics, Operations Research, Physics, Statistics
Two (2) years of experience.
Experience in at least two of the following: Python, Scala, Java, Spark, C and R. Experience with Databricks or notebooks a plus.
Experience analyzing large datasets and generating features.
Experience with building data science solutions using at least 2 statistical and machine learning techniques, and technical depth in at least 1 technique.
Some financial industry experience is a plus.
What we offer:
Competitive salary and stock options
A comprehensive benefits package to meet the needs of you and your family
Flexible paid time off
Numerous career possibilities that allow you to grow with Acorns
Talented and motivated team members who care deeply about one another, our mission and our customers.
The rare opportunity to create a new world. We inspire one another every day to do meaningful work that solves big societal challenges.
About Acorns:
Acorns is the leading micro-investing app in the U.S. It allows users to round up their daily purchases and automatically Invest the Change® into a low-cost, diversified portfolio of exchange-traded funds offered by some of the world's top asset managers (including Vanguard and BlackRock). Founded in Newport Beach, Calif., by father and son team Walter and Jeff Cruttenden, Acorns provides a simple entry-point using the Acorns app on iPhone or Android. Customers accumulate fractional shares in one of five portfolios constructed by world-renowned Nobel Laureate economist Dr. Harry Markowitz. Acorns' smart portfolio algorithms automatically work in the background of life, helping users build wealth naturally, pennies at a time. From Acorns mighty oaks do grow.
Mission:
With benevolence and courage, we look after the financial best interests of the up-and-coming; beginning with the empowering step of micro-investing.
Commitment to Diversity, Equity & Inclusion:
Acorns believes diversity, equity and inclusion are fundamental obligations that strengthen our team. We need a diverse, multi-disciplinary team to build a meaningful company and culture.
Values:
Lead with heart
Make bold decisions
Always build trust
Never stop growing
Find a way
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Director Data Science Analytics | Hotel Engine |
Data is a core competency of Hotel Engine, and the team has for mission to ensure we leverage our data assets as well as advanced analytics and machine learning to deliver product and business value across the organization and achieve our overarching company goals, be they revenue, member experience or scalability goals. The team’s core pillars include building and maintaining our data infrastructure, working with cross-functional stakeholders to deliver high-value business intelligence and analytics, and building data science & ML-driven models and services to power and improve our product, increase customer engagement and satisfaction, and deliver efficiency gains throughout the organization.
We are looking for a Director to take a leadership role on our Data Engineering and Data Science team and support our fast growth. This is a key technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.
Reporting to our VP of Data Engineering and Data Science, you will grow and lead a team of data scientists, data engineers and data analysts, and will act as both a people and technical thought leader. If you are passionate about travel, about working on both strategic projects and hands-on implementation, and relate to our vision and DNA, please apply.
Although most of the team is based in Denver, the role can be remote for the right candidate.
Here's what you'll do:
Develop and lead a data team strongly integrated with product and engineering and with company-wide stakeholders including sales, marketing, supplier relations, traveler experience, and finance
Partner with cross-functional leaders to drive analytics and insights-driven decision making throughout the business
Work with the VP of Data to develop, obtain support and execute on a short, medium, and long-term data roadmap and strategy. Lead quarterly and monthly planning process, as well as weekly sprints
Recruit great data scientists, data engineers and data analysts, in collaboration with Hotel Engine’s recruiting team. Mentor the professional development of direct reports, managers, and individual contributors, through coaching and performance management. Build diverse and distributed teams and collaborative environments
Establish rules of engagement and processes to manage data and analytics requests, prioritize them effectively, and deliver within committed timeframes while at the same time not losing track of the data team’s core monthly and quarterly goals
Ensure that the team builds and maintains world-class data pipelines, data warehouse, and business intelligence and analytics solutions
Design, built, synthesize and present robust analyses aimed at driving the strategic direction of Hotel Engine
Lead the development of predictive algorithms based on principles from statistics, machine learning and operations research to power and improve product features, increase customer engagement and satisfaction, deliver efficiency gains throughout the business, and support better decision making
Work with product and engineering to deploy ML-based solutions into production
Work closely with cross-functional stakeholders to define, track and report core business and product metrics and KPIs to inform both strategic decisions and day-to-day business operations
Identify new opportunities to leverage data to improve HE’s products and processes
Work with product and engineering to define and capture key metrics for our new products and identify causal impact through experimentation and causal inference methods
Here's what we're looking for:
8+ years of relevant experience in data analytics, data science and/or machine learning. At least 5 years as an individual contributor and at least 3 years leading a data team
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Mathematics, Sciences or Engineering)
Expert knowledge of a scientific computing language (such as Python or R) and SQL
Expertise in statistics and machine learning, and a history of empowering whole organizations to use data by making data robust, well-structured, and as self-serve as possible
Leadership experience in an analytical role at a growth-stage company
Strong track record of recruiting and leading high-performing data teams
Excellent communication skills both in written (memos, emails, decks) and verbal form
Proven ability to lead projects to completion and collaborate seamlessly with others
You are a self-starter, able to operate effectively and with autonomy in a fast-paced environment with a high level of ambiguity, and you have experience building productive and positive relationships across an organization at all levels (entry level to senior executives)
Track record of rigorous execution and high impact
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Cash compensation:
The base compensation (excluding bonus) range for this role is between $160,000 and $200,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.
Remote Opportunities:
This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.
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Principal Data Scientist | Hotel Engine |
We are looking for a Principal Data Scientist to join our fast-growing Data Science and Engineering team and lead the work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key leadership role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a strong track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:
Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Lead the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs
Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers and machine learning engineers
Here's what we're looking for:
8+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus
Cash compensation:
The base salary for this role starts at $150,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.
Remote Opportunities:
This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.
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Senior Data Scientist | Hotel Engine |
We are looking for a Senior Data Scientist to join our fast-growing Data Science and Engineering team and lead the work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key leadership role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a strong track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:
Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Lead the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs
Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers and machine learning engineers
Here's what we're looking for:
3-4+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus
Cash compensation:
The base salary for this role starts at $130,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.
Remote Opportunities:
This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.
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Data Scientist | Hotel Engine |
We are looking for a Data Scientist to join our fast-growing Data Science and Engineering team and work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:
Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Participate in the end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Contribute to the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs
Here's what we're looking for:
2+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus
Cash compensation:
The base salary for this role starts at $80,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.
Remote Opportunities:
This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.
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Implementation Data Scientist | Altana |
The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to:
Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
Oversee the specification and development of new or expanded solutions
Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each
Work closely with Solutions Managers to integrate feedback from internal and external customers.
Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)
This position can be worked remotely, but you should be comfortable working on New York time.
About You
3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
1-2 years technical experience in analytics, data science, software engineering or a similar technology related field
Exposure to trade compliance, supply chain management or a field similarly related to international commerce
Experience with machine learning
Record of ownership and delivery of projects with major organizational impact
Strong written and verbal communication skills
Nice to have, but not required
Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure
Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
Working knowledge of cloud services like AWS, Azure, or GCP
Technologies we love
Languages: Python, Spark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB
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Manager Data Science Credit | Wealthsimple |
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.
Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.
We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
About the team
Strong credit risk management will be a critical component of enabling innovative and responsible credit offerings across Wealthsimple’s products. As a newly formed team, the Credit Data Science team will own the full lifecycle of our approach to credit from machine learning risk models, credit policy and extensible frameworks for lending decisions all while building a feedback loop to continuously improve our understanding of risk. We achieve these goals by:
• Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
• Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
• Using decision science to understand the cause and effect of our business decisions
In this role, you will have the opportunity to:
Lead a team data scientists as we build a best-in-class credit risk modelling team
Help architect the next stage of Wealthsimple’s systems, supporting millions of clients.
Deploy new machine learning models, business rules and analytical solutions to optimize credit policies
Collaborate with other business units to ensure products are built cohesively with credit risk management at the forefront across the platform
Get the best out of the team by leveraging their diverse educational backgrounds.
Set organizational standards and influence our data science and engineering culture.
Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
Skills we're looking for:
Experience leading Data Science teams and a proven dedication to helping your team and others grow.
Excellent Python & SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
Strong understanding of statistics: both frequentist and Bayesian approaches.
Strong understanding of fundamental machine-learning algorithms: regression and decision trees.
We're looking for someone who:
Is able to articulate their stance in a manner that effectively communicates why a solution could be the best way forward
Adjusts quickly to changing priorities and effectively manages complexity and change
Can coach people in their current roles to improve performance and prepare them for future roles
Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
Plans, organizes, schedules, and budgets in an efficient, productive manner
Is eager to teach and learn from your team. We value making each other successful!
Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft
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Senior Data Scientist | Tala |
About Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
-Autonomously leads data science initiatives that drive improvements in credit product, finance and customer experience.
-Owns modeling cycles through scoping, development, deployment and after-sale and monitoring, with keen focus on business outcomes and stakeholder management.
-Customer centric, ties their work to realizing Tala’s mission of “enabling and accelerating financial health for the underserved globally.”
-Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success.
-Develop roadmap in collaboration with stakeholders to organize and prioritize initiatives.
-Own full-cycle of machine learning products from ideation and training through deployment into our production environment and after sales service.
-Obsess over machine learning products, iterating rapidly if necessary.
-Become a multiplier for data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling.
-Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.
-4+ years of experience in a data science role or equivalent position.
-2+ years in a senior / lead position leading the execution of end to end machine learning solutions for business stakeholders.
-Fluent in Python and packages related to machine learning.
-Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring.
-Has demonstrated business value in previous roles.
-High level of statistical competency, knowledge of experimental design and analysis.
-Strong collaborator and communicator, tells stories through data and effective visualization.
-Statistics and Hypothesis testing - Data Visualization
-Communication/collaboration skills are required.
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Senior Data Scientist | Crunchbase |
About Crunchbase
Crunchbase helps over 70 million people around the world connect with the companies and people that matter. We are democratizing access to opportunities so that entrepreneurs, investors, job seekers, salespeople, and others can accelerate innovation for a better future. We are proud to build products that are shaping how companies and people connect, using our intelligence and data to help them communicate in a more meaningful way with one another.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in these locations:
Atlanta, Austin, Boston, Chicago, Denver, Las Vegas, Los Angeles, Miami, Minneapolis, New York, Portland, Raleigh, San Francisco, and Seattle
Engineering at Crunchbase
The Crunchbase engineering team is a dynamic, fast-paced team that is dedicated to quickly delivering features, evaluating their performance, and iterating towards the product vision shared by the company.
We are organized in vertical teams that include cross-functional engineers as well as functional guilds aimed at working tightly with the product team to deliver high standards code while iterating quickly on features.
We value open and honest communication and strive to build an environment where opinions and views can be shared and considered in an effort to reach the best decision.
Personalization Team at Crunchbase
The Crunchbase personalization team thrives to provide users personalized relevant information throughout their experience on Crunchbase platform. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand our users’ journey, identify and highlight relevant insights and build personalized experiences that are unique to our users.
The team is composed of Data Scientists, Machine Learning Engineers, Platform Engineers and Frontend engineers working together to deliver models and services into production.
We are hiring a hands-on Senior Data Scientist to help build the next level of Crunchbase personalized experience.
We are looking to go deeper on the data we have, generating and presenting insights that help our users better understand our data and offer observations and recommendations specifically tailored to their use-case. The ideal candidate is passionate about not only data and what it can teach us, but also about our users and how to drive an experience that helps them engage with and better use our data.
What You'll Do:
Help drive the Crunchbase personalization engine and turn our business vision into features
Collaborate with the product team and other partners to help improve our personalized user experience
Work on all aspects of the feature delivery cycle, from conceptualizing and collecting requirements to modeling and productionalizing your code all the way to deployment.
Set up evaluation processes and methodologies with partners to guide experiments
Conduct research to implement prescriptive and predictive models at a production level of quality according to our business needs, data patterns, and performance requirements
Work side by side with machine learning engineers and data engineers to come up with plans to put the models/algorithms into production
Develop statistical and machine learning models to better understand users and their journey in general
Contribute to defining and enhancing our machine learning platform capabilities from the ground up
Help establish processes and standard methodologies to help grow our data science guild
What We're Looking For:
Strong statistics and machine learning background
4+ years of proven experience as a Data Scientist
You are an excellent communicator and able to explain sophisticated issues to colleagues in simple terms
You like to understand the product and deliver meaningful features that drive the business forward
You enjoy owning and pursuing a challenging research agenda and carrying out long-running projects autonomously with the team
You are familiar with an array of analytics and big data tools (e.g SQL, etc)
You have hands-on experience on shipping machine learning-based projects in production and delivering significant impact to customers
You are a big believer in the Build-Measure-Learn methodology
Experience with personalization and recommendation systems is a plus
Industry experience with NLP is a plus
What Crunchbase offers:
Competitive salary and equity
Remote first policy
Generous Reimbursement policy for learning and development activities
Monthly fitness / mental health reimbursement
10 weeks of fully-paid time off for new parents
Flexible Paid Time Off (PTO)
Volunteering Paid Time Off
Incredible medical, vision, and dental benefits for employees and their families
Free One Medical Group membership for employees and their families
401(k) and Roth plans, and free annual financial adviser check-in
Monthly internet stipend
Work from home allowance to purchase furniture for your work from home space
Annual carbon offset
Matching charity contributions for our Townhall awards
A team of creative, transparent entrepreneurs driven to accomplish our mission
At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application!
Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.
#LI-MF1 #BI-Remote
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Senior Data Scientist | Vroom |
Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.We are growing our team seeking a Sr. Data Scientist who will focus on improving customer conversion specifically related to the financing cycle.Responsibilities:
Lead the development, maintenance, and delivery of data science products for various business units.
Lead the selection and implementation of new technologies and facilitate their rollout, working closely with product, devops and engineering leads.
Lead the establishment of modeling best practices and coding standards to be used across the data science organization.
Stay current with rapidly developing data modeling technologies and share knowledge with the greater team.
Ensure proper use of Vroom data assets by working closely with our data governance and cybersecurity teams.
Proactively apply business judgement to identify opportunities and develop data science strategies.
Advocate and advance modern, agile data science product development practices and help develop and evangelize great engineering and organizational practices.
Influence, collaborate, and communicate effectively with other business leaders.
Communicate scientific solutions and insights effectively to a non-technical audience.
Develop mechanisms to audit the product quality and develop best practices.
Mentor junior members of the team.
Requirements:
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
4+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
Advanced proficiency with Python or R, and solid working knowledge of SQL.
Modeling experience related to car loans, ability to pay or credit level preferred, not required.
Strong communication and presentation skills.
Demonstrated ability to own a project and bring it to fruition with minimal oversight
Conceptual knowledge and background in probability, statistics, and machine learning including their technical implementation.
Experience designing, prototyping, and deploying production-ready machine learning solutions.
Strong problem-solving skills.
#LI-REMOTE
Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
Please review our privacy and CCPA policies
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Data Scientist | Vroom |
Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.Vroom's Data Team is looking for a Data Scientist who will focus on making continuous improvements to the website. This candidate will be responsible for customization of the customer experience. E-commerce industry, modeling and forecasting experience is required.We value your personal growth, and will gladly train you on any of our technologies that you don't currently have. Ours is a culture where your voice will be heard, and you'll be able to see the result of your work! We're one of the few players in the ecommerce automotive space. As a member of our crew, you will become an industry expert.Responsibilities
Own end -to-end ML/analytics pipelines and work with stakeholders to develop deep domain expertise on associated business processes.
Build, validate, and maintain predictive models to increase and optimize conversion, customer experience, and other business outcomes.
Identify standard and novel data solutions to assess consumer-related demand levels and other market indicators.
Acquire, organize and leverage insights derived from large datasets.
Collaborate with different functional teams to rapidly deploy newly developed models, maintain existing ones, and run ad-hoc analyses as needed.
Propose solutions and strategies to business challenges.
Present proposed solutions and results to stakeholders.
Requirements
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
2+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
Proficient with Python or R, and solid working knowledge of SQL.
Strong communication and presentation skills.
Experience with ecommerce predictive analytics / modeling to include optimizing website conversion and behavior preferred.
Conceptual knowledge and background in probability, statistics, and machine learning including their technical implementation.
Experience designing, prototyping, and deploying production-ready machine learning solutions.
Strong problem-solving skills.
#LI-REMOTE
Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
Please review our privacy and CCPA policies
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Sr Data Scientist | Disney |
Job Summary:
We are looking for an Engineering Insights Senior Data Scientist to drive key analytics and engineering initiatives that improve Disney Streaming’s engineering ecosystem. The Engineering Insights team is responsible for identifying and building solutions for data insights that improve the reliability, performance, and user experience across Disney+, ESPN+, and Hulu.
This is an opportunity to join a team to improve the user’s experience through analyzing Disney Streaming’s entire ecosystem, identifying areas of improvement, and building custom solutions to proactively increase issue identification and triage. The analysis and insights you create will help drive engineering initiatives and priorities.
To be successful in this role, you need to be a strong data scientist; always striving to solve complex problems at scale. A strong background in distributed services and client architecture is preferred. Whether you’re in New York, California, Seattle, or remote, we provide opportunities to elevate your career and to transform an industry.
Responsibilities:
Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologiesTranslate complex problems and solutions to all levels of the organizationDrive innovation of the statistical and machine learning methodologies and tools used by the teamPartner with cross-functional teams in identifying, defining, supporting, and improving reliability and performance
Basic Qualifications:
5+ years of experience in advanced analyticsExpert level knowledge of machine learning. Ability to define the direction for a project and select appropriate methods and tools. Up to date knowledge of recent advancementsExperience implementing scalable, distributed, and highly available systemsProficient in Python. Java or Scala is a plusExperience in data processing using SQL and PySparkHighly skilled in statistics concepts (e.g., hypothesis testing, A/B testing, regression analysis, clustering, anomaly detection)Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.Strong analytical skills and innate curiosity to troubleshoot and dive deep into complex technical issuesExperience using data and analytical skills to derive key performance insights in a complex ecosystem Experience of identifying key value drivers in a direct-to-consumer application
Preferred Qualifications:
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent2+ years of experience in streaming industry, knowledge of client and server-side architecture a plus 3+ years of Python, Spark, Pyspark or Scala
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Head Of Data | Co Star |
Co–Star’s writing resonates so deeply that people compare Co-Star to a best friend, a therapist, and a mom. This content is powered by structured data, synthetic generation, and personalization. We're looking for a Head of Data to lead the data science team at Co–Star. You’ll help tens of millions of people connect to each other and themselves – through astrology – in real, meaningful ways. You will report to the VP of Engineering.
WHAT YOU’LL DO
Support, develop, and build out our data science team, currently two people
Evaluate our current data science processes and create a strategy around improvements and scalability, iterate on processes and structure to optimize the data organization
Work closely with Product to develop a roadmap that blocks out longer term strategy around content systems, shipping incrementally with as much measurable user value as possible.
In partnership with in-house recruiting, hire and grow Co–Star’s data science organization, working closely with the rest of the team to execute your hiring goals
Work with cross-functional leadership to set strategy and quarterly company-wide OKRs, tricking that down to data science OKRs
Work closely with the team to troubleshoot issues with data structures, cross-functional opinions about data
Drive accuracy of AI/ML products and educate others on AI/ML products and capabilities.
Transform ML papers (Fan, Reiter) & experimental ML tools (e.g. GPT-3) into products & metaphors we can use to drive development
WHAT YOU'LL BRING
5+ years leading data scientists, data analysts, or other members of data organizations
Precise and thoughtful communication and management style
Excitement and success around hiring, developing, and retaining your team, keeping DE&I at the forefront of every hire
A mindset that process is around to serve us and is something that can and should be iterated on
Expert-level understanding of core principles & modern tooling in data science, including machine learning (eg SK Learn, Pytorch, Tensorflow), data and text analytics, clustering, pattern recognition and extraction, automated classification and categorization, deep learning, and NLP
Experience with data pipelines for storage and accessing (AWS Athena, GCP BigQuery) and processing (Athena, EMR, Dataflow, Dataproc)
Deep familiarity with data science workflows, including experimentation and evaluation
A love of figuring out “hacky” ways of accomplishing things, but the awareness to know when the cheap way is no longer adequate
A clear communicator, both verbally and in writing
Secret love for beautiful writing
OUR STACK
Python wrapper intakes NASA data about where the planets are to find the patterns in the night sky from the perspective of earth
Haskell backend transforms data, gives writers superpowers, and delivers resonant, personalized content
BigQuery stores TB of data to create insight for internal teams
Native Swift & Android apps create an incredible mobile experience that feels made-for-your-fingers
AWS infrastructure scales to serve millions of people
What an NLP professor called a “virtuosic” use of Google Sheets
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Data Scientist Customer Experience Product | Hopper |
About the job
We’re looking for a business-minded data master to join our team as a Data Scientist to drive data-centric product development and growth in collaboration with our high-performing team of Product Managers, and Software Engineers on the Customer Experience Product team.
You will work closely with the team to build and deploy highly performant dynamic pricing models to personalize customer experience products to optimize for conversion rates and overall revenue. You will drive experiments and launch challenger models to test hypotheses and continually improve upon key business metrics. Hopper’s large user base often means that we can get statistically significant results within a short period of time post-launch, making this a dynamic role for a results-driven data scientist.
You may be a great fit for our team if you’re a curious self-starter who thrives in ambiguity, is passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver significant value to our customers.
Minimum Qualifications
A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines
Extremely strong analytical and problem-solving skills
Proven ability to communicate complex technical work to non-technical audiences
A strong passion for and extensive experience conducting empirical research and answering hard questions with data
A self starter mentality and the ability to thrive in uncertainty
Experience with relational databases and using SQL to pull and analyze data
Experience in Pandas, R, SAS or other tools appropriate for data preparation and analysis
Experience with statistical modeling tools and underlying algorithms
Experience with business reporting tools such as Tableau, Amplitude
Proficiency with Unix/Linux environments
Preferred Qualifications
Experience with revenue management models in travel a plus
Ability to break down complex business problems down to the data drivers
Strong ability to communicate models and insights to stakeholders
Comfortable collaborating with engineering to identify and own data science implementations in production
Able to design, create and measure consumer facing experiments
Able to provide thought leadership on pricing and revenue management models
Able to create ETL pipelines and/or support engineering in the creation of ETL pipelines
Responsibilities
Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users and what drives them to conversion and retention
Create and deploy powerful dynamic pricing models that power Customer Experience product merchandising on the Hopper app
Have ownership of the full data science lifecycle, including partnering with product, engineering and operations teams to deliver highly customer focused products.
Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
Create advanced dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets
Find effective ways to simplify and communicate analyses to a non-technical audience
Benefits
Well-funded and proven startup with large ambitions, competitive salary and stock options
Unlimited PTO
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams = massive impact
100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
Access to a Retirement Savings Plan
Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has seen its valuation more than double since early 2020, reflecting the strength of our mobile-only marketplace and the value customers are deriving from our proprietary suite of fintech offerings.
Here are just a few stats that demonstrate our recent growth:
- Hopper’s valuation is now over $3.5B, reflecting the strength of its mobile-only marketplace and value customers are deriving from the company’s proprietary suite of fintech offerings.
- Based on its current run rate, Hopper is pacing towards 330% revenue growth compared to last year, and it has already surpassed its pre-pandemic revenue peak from Q1 2020 by over 100%.
- Hopper has over 60 million downloads, consistently ranks as one of the most downloaded travel apps, and now has a larger air travel market share in North America than it did before the pandemic (source: MIDT).
- The company is on track to surpass $1.5 billion in travel sales this year, with 40% coming from the hotel and car rental categories.
- Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent 50% of its revenue.
- Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel fintech.
The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.
All this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!
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Sr Scientist | Revenue Analytics |
Why Join Revenue Analytics?
Because you have exceptional talents and you want to be part of a fun and highly collaborative team that creates analytical products to solve business problems for world-renowned companies.
What's In It For You?
· Competitive base salary
· 100% paid healthcare including medical, dental, and vision coverage for our Team Members and their families
· 100% paid life insurance, long and short-term disability coverage for Team Members
· 401k plan with a generous match and immediately vested
· Company issued cell phone or phone allowance
· Open PTO plan (take what you need!) and 9 paid holidays
· Gym membership reimbursement
· Flexible work arrangements
· Awarded a 2020 Healthiest Employer by the Atlanta Business Chronicle
· Once again awarded a Top Workplace in Atlanta in 2021!
Are you itching to come execute the vision and roadmap for all product analytics with oversight and then communicate those analytics to our customers in ways that builds their confidence and trust in our products and our capabilities? If so, this may just be the role for you!
A Day in the Life
Provide ongoing analytical support to customers using our products, including proactive monitoring of model performance, quarterly model refreshes and parameter tuning
Perform high quality analysis for customer engagements
Develop analytic requirements and select appropriate models for solution design
Design well‐engineered models to solve customer problems, balancing sophistication with business fit
Combine understanding of the vertical industry and predictive analytics to translate business insights/nuances of customers into model/parameter updates or improvements
Explain to customers and prospects how the analytics in our products work and proactively address customer questions about model recommendations
Collaborate with cross‐functional peers, both internally and externally, to design customer solutions and proactively raise issues and questions to ensure alignment
Who You Are
Master’s or foreign equivalent degree in Operations Research, Economics, Engineering, or another applied mathematics discipline
In lieu of a master's degree or the foreign equivalent, will accept a Ph.D. or foreign equivalent degree and 2+ years of experience as stated
3+ years of relevant experience applying research to revenue or yield management issues
Must also have experience solving business problems using stochastic, heuristic, or deterministic methodologies; and using Python, R, or SQL analytical tools
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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Data Scientist | Phrasee |
We’re Phrasee and we help brands say it better. An AI-powered SaaS platform that revolutionises customer experiences through Brand Language Optimization, Phrasee helps visionary enterprises enhance and personalise their customer experiences by optimising the language they use across the full customer journey and spectrum of digital brand channels.
All brand communications are predicated on one thing: language. In spite of its central role to marketing success, it remains looked upon as a Dark Art – exempt from the scientific rigor applied across the rest of the marketing funnel. Phrasee set out to accomplish the impossible: putting science (and sentiment) behind words. We are rewriting the digital marketing playbook one optimised word at a time.
Our effortless (borderline magical) platform is proven to boost customer engagement and increase lifetime value for the world’s leading brands, including Dixons Carphone, Domino’s, eBay, FARFETCH, Virgin Atlantic and Walgreens. We absolutely obsess about our customers' success so they can say it better.
At Phrasee you get to work with a super smart and caring team, who make BIG ideas a reality while having a lot of fun. Our growth plans are fast and global and we want YOU to be a part of our story.
Our team:
We are a small, agile and highly motivated product development team. We have collaborative and flexible working environment, and we love getting stuff done. As a Data Scientist, you will work alongside our world class product and engineering teams to lead research and development of differentiating AI/ML solutions that will enhance our product.
Our platform:
Phrasee is a SaaS platform that uses proprietary NLG and Deep Learning to generate and optimize language for use in marketing communications.
Phrasee is built with Open API’s designed to make it easy for third party technology platforms such as Email Service Provides, to integrate our technology to their workflow.
What you'll be doing:
Reporting to the Lead Data Scientist, you will be working in an agile team, to research, design and build market leading AI/ML solutions that make a material impact to our business and customer experience.
Look to proactively identify and solve business challenges with advanced data science and analytics tools.
Coordinate with product and engineering to translate R&D prototypes into production-ready systems.
Develop workflows and processes to streamline Phrasee's research and development lifecycles.
You’re a Data Scientist who:
Loves numerical data, so naturally keeps on top of all the latest academic and industry developments in Data Science, Machine Learning, and AI.
A desire to learn new concepts quickly, and apply them to real customer problems.
Can adapt quickly, and calmly, to changing priorities.
You have a range of technical skills including:
Hold a Masters or PhD (or equivalent practical experience) in a highly numerical discipline such as maths, physics, statistics or computer science.
Have a strong working knowledge of fundamental statistics.
Experience with Python – pandas, jupyter and the broader scientific python ecosystem.
Ability to apply abstract mathematical concepts to noisy real-world data.
Communicate effectively with people across the business who have a variety of backgrounds.
Bonus points for knowledge of NLG, NLP, Computational linguistics, Machine Learning DevOps and Data visualization.
What we're offering:
We strive to create a fun, friendly, and comfortable working environment.
We believe a good work-life balance is essential.
We're in this business for the long haul. We give our team time to think and to do things right.
Our team is a democracy. Everybody has a voice in how things are done.
We offer a competitive salary and benefits, but most importantly, a chance to work for a young, scale up company with and AWESOME team and culture, and a cutting-edge product that actually shows the value of AI!
This role is remote, with a base in the UK required.
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Data Scientist Product Analytics | Arrive |
About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.
With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.
The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Data Scientist, Product Analytics, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.
Our ideal candidate has:
3+ years of Data Science experience, ideally at a technology company
Expert-level SQL
Experience with A/B testing required
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with production-level Python or R
What you'll do
Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Own the maintenance and improvement of Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
What we can offer
Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Director Of Data Science | Workstep |
The Company:WorkStep is the leading software provider of workforce retention and hiring solutions for the supply chain industry. We’re a Series A startup (backed by leading investors) who is disrupting the industry and changing the way companies have traditionally hired and retained their frontline supply chain workers.Our mission is simple: to make the supply chain a better place to work. How? By helping companies within e-commerce, manufacturing, retail, CPG, transportation, and logistics make better-fit hires and improve their frontline workforce satisfaction and retention.The Role:WorkStep is a data-first company, and putting data to work is an aspect of everything we do. Our growing Data Science team (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for the company. As Director of Data Science at WorkStep, you will be instrumental in continuing to build out the Data Science function within the organization and laying the foundations for accelerating the way we bring data and insights to our product and business operations. You will work directly with the CTO to develop a strong bench of talent, model our vast data repositories, and define mechanisms for bringing critical thinking to all corners of our business operations.We are looking for a creative thinker who can develop and execute workable solutions to complex problems that will have an impact in days, instead of a perfect one that might require weeks. The ideal candidate has the acumen to leverage modern techniques to drive business value, but also the experience to bring rigor, maintainability, and scalability to our data operations.Responsibilities: Hire, develop, and lead a team of top talent data scientists and engineers Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions. Partner and influence leadership to ensure team priorities and output directly impacts company strategy, direction and growth. Own the raw data sources and modeling layers that power Business Intelligence for BizOps and Finance Collaborate closely with Product Engineering in a formal Data Review to ensure the accuracy and integrity of any productionalized analytics. Ultimately responsible for our data pipelines and warehouse. Chief architect for how WorkStep develops, maintains, operationalizes, and integrates modern machine learning models into our various workflows. MS/PhD degree in a quantitative field (computer science, applied math, economics, statistics, engineering) or equivalent industry experience 3+ years people management experience in a technology setting Expert command of SQL and mathematical programming (R, Matlab, Scikit, etc) Significant experience with data warehousing (BigQuery, Redshift, Snowflake) Significant experience operationalizing modern machine learning techniques Experience with Python and common analytical libraries Familiarity with ETL and data pipeline mechanisms Extreme attention to detail Comfortable in a smaller rapidly evolving early stage start-up environment working remotely Passion for the WorkStep mission WorkStep is a fully remote company, meaning our team can work from where it suits them—whether that's East Coast or West Coast, in the mountains, or at the beach. We're a collaborative bunch who are focused on helping our customers succeed and deliver results, FAST. But we also know how to have fun and enjoy each other's company. Our benefits include: Remote working environment Unlimited PTO Top-notch technology Quarterly team building on-sites (when safe to resume) Workspace, wellness, and L&D stipends Competitive company-sponsored health, vision, and dental benefits package Opportunity to join a passionate, motivated, and fun team at an early stage to help shape and execute on our mission If you’re a collaborator who likes a challenge, who doesn’t mind rolling up their sleeves and getting stuck in, and wants to join a fast growing company at an early stage, we want to hear from you!WorkStep is an EEO employer. We do not discriminate against any applicant for employment, or any employee because of race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender, disability, age, or protected veteran status. We are committed to building a safe, inclusive environment for people of all backgrounds.
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Senior Data Scientist | Banjo Health |
About the job
The Sr. Data Scientist will be an experienced and inquisitive player/coach who is able to develop and run with data-centered projects. You will be working closely with the Head of Data Science and other key functional groups to help realize the data science strategy and vision which supports Banjo Health’s overall goal of reducing the burden of prior authorizations. Your work will directly influence Banjo Health’s ability to provide cutting edge solutions to key stakeholders within PBMs, Health Plans, Providers, and other healthcare customer segments. Using artificial intelligence & machine learning, natural language processing, and other methodologies, we will ensure that patients receive treatments in a timely and appropriate way.
Requirements
Position responsibilities:
Train, test and validate machine learning models to predict prior authorization (PA) decisions and explain recommendations.
Utilize NLP and deep learning techniques to solve problems across the Banjo suite, examples of which may include generating decision trees from prior authorization requirements, building medical question and answer systems, or improving medical search capabilities within a patient’s medical record.
Produce precision, recall, f1 scores, and ROI curves to demonstrate model improvement.
Develop rich feature encodings for Prior Authorization use cases.
Work closely with our partners in Engineering to bring models into production-grade settings
Provide Data Science support on pilot studies investigating new medical decision making processes.
Collaborate cross-functionally to scope problems and provide informed and practical data science recommendations.
Perform other duties as assigned.
Requirements:
Experience with a wide range of data formats and standards such as FHIR, EDI, XML, JSON.
A track record of successfully applying data science techniques to solve challenging problems.
Strong knowledge of supervised modeling techniques such as logistic regression, decision trees, SVM, neural networks.
Working knowledge of established and emerging NLP strategies.
Experience writing useful, maintainable, production-grade Python code.
Experience building end-to-end data pipelines from ETL to model training and testing to deployment.
A passion for collaborating and sharing knowledge in both technical and non-technical settings.
Dynamic, collaborative, and entrepreneurial spirit with a “get it done” mentality.
High growth company and/or startup experience is strongly preferred.
Prior experience working with medical records data, healthcare systems, medical decision making or Prior Authorization processes.
Experience with knowledge graphs or ontologies, bonus points if you’ve worked with UMLS in the past preferred.
Bonus points if you have direct experience working within a payer on utilization management or an organization supporting payers on utilization management.
Education requirements:
BS, MS, Ph.D. in Computer Science, Data Science, Statistics or related discipline.
Benefits
Competitive salary and equity, remote first work environment, unlimited PTO, deep work Wednesdays, company sponsored healthcare, dental, & vision benefits, career development opportunities, and exciting team retreats are among the myriad benefits you'll experience while working at Banjo Health.
About us
Banjo Health Inc. is a health industry solutions provider that helps customers navigate the ever-changing medical climate through Artificial Intelligence (AI). The Banjo Health mission is to create a clear path to focus on optimal patient care for our healthcare partners by providing innovative, effective, and efficient technological solutions to overcome barriers in streamlining traditional workflow. With deep technical expertise, Banjo Health is empowering enterprises to harness the full power of the cloud and emerging technologies such as blockchain, artificial intelligence, machine learning, and natural language processing through customized solutions and first-party cloud-based products. Banjo Health is uniquely comprised of technologists and clinicians who share a deep understanding of medical market needs and the appropriate application of cloud technology + AI to solve the biggest burdens in healthcare. Visit http://www.banjohealth.com for more information.
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Senior Data Scientist | The Hartford |
You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.The Hartford seeks energetic and passionate data science talent to build and create best in class data science teams. Our Data science team has developed industry-leading capabilities, driving streamlined processes and smarter decision making. We support a variety of functions including Actuarial, Product, Underwriting and Sales. Join our team as a Data Scientist to improve our view of segmentation through research of new features and techniques. The areas of our work ranges across a wide range of business use cases including but not limited to underwriting, claims, operations, risk engineering, third party data and digital analytics. Our team’s focus is to develop analytic and predictive modeling solutions and partner with our data engineers to generate and enhance existing feature engineering as well as modeling assets and abilities. Generalized linear models are a major technical component of this role, along with the use of other machine learning methodologies, including but not limited to gradient boosting, random forests, and neural networks. The ideal candidate will also be familiar with common data visualization techniques and will have the ability to communicate key data-related findings to business partners of varying technical backgrounds. Minimum Experience
Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field or progress towards or attainment of a relevant professional designation (i.e. ACAS/FCAS, ASA/FSA, CFA, CSPA, etc.)
5+ years of relevant experience in Research Function in Insurance or Financial Services or related field
Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.)
Subject matter expert in modeling data and analytical capabilities utilizing Python
Preferred Skills:
Experience with big data technologies (i.e. Hadoop, Spark, Hive, EMR, etc.)
Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs
Verbal/written communication skills, with particular emphasis on communicating to non-technical audiences
Experience with Financial Lines insurance a plus
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$95,360 - $143,040BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeSr Data Scientist - GD07AE
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Data Scientist | The Hartford |
You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.As a Data Scientist, you will support our Middle and Large Commercial business function as this organization continues to increase the efficiency and efficacy of its business strategies and critical decision making via data and analytics. You will be translating predictive models into business solutions. You will leverage Python, predictive modeling (Linear models, Random Forest, Gradient boosting, etc…), and AWS technologies. Your models will be used to make faster and better business decisions to facilitate profitable growth. Responsibilities:
Develop assets to support our Middle and Large Commercial organization using Python and SQL.
Own the full lifecycle of models built for the Middle and Large Commercial organization.
Write modular Python code to ease the hand off to Data Engineers for deployment.
Collaborate with Data Engineers, Senior Data Scientist, and Asset Owners.
Present your work to our stakeholders and customers.
Minimum Experience
Must be authorized to work in the US now, and in the future.
Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field.
2+ years of relevant experience in a data science or applied analytics role.
Subject matter expert in modeling data and analytical capabilities utilizing Python
Experience with gathering data from structured databases (i.e. Oracle, Hive, etc..)
Preferred Skills:
Experience with data science in an insurance environment.
Experience with Amazon Web Services.
Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.)
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$80,480 - $120,720BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeData Scientist - GD08AE
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Intern Data Science | The Hartford |
You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.The Hartford is offering a 2022 Data Science Summer Internship Program designed to prepare you for a challenging and rewarding Data Science career. This competitive 11-week summer program includes a number of unforgettable team building and social events that let you meet and interact with other members of our large analytics community. The Data Science Calendar of Events includes speaker series, leadership panels, modeling competitions and training in insurance and advanced programming/modeling. This program begins in May 2022.Responsibilities:
Build and enhance the predictive power of existing models.
Develop state of the art predictive models that help achieve business targets. Partner with product, underwriting, claims, actuarial and other areas to implement predictive models.
Evaluate new internal and external data elements and technologies to be included in predictive models.
Develop and implement new multivariate methodologies to solve practical business problems.
Build databases to facilitate robust analyses.
Identify relationships within data sets that can produce meaningful differentiation amongst competitors.
Provide insight in to leading analytic practices and produce new and creative analytic solutions.
Find patterns and insights in unstructured data.
Project management skills to set appropriate timelines.
Acquire industry knowledge in order to solve business questions.
Potential for machine learning, optimization analysis, simulations research, geospatial statistics and a growing number of advanced analytic topics.
Requirements:
Must be authorized to work in the United States without sponsorship now, or in the future.
Must be working towards masters degrees or a PhD in quantitative disciplines such as Data Science, Operations Research, Statistics, Business Analytics or other similar degrees.
Experience with predictive modeling.
Experience programming with Python or R.
Experience with Github.
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:-BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeStudent Intern - HHSIAN
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Principal Data Scientist Machine Learning | Slice |
Pizza is at the heart of our communities. From birthday parties to gameday potlucks, life’s special moments are bettered by the craftsmanship and tradition found behind local pizzerias’ counters. We’re here to make sure these iconic small businesses serve our communities for generations to come by giving them the digital tools and services commonly found at big chains. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?
The Role
Data at Slice is a centralized group reporting directly to our CEO and founder.
You will be joining a fast growing ML Data Science team for a leading marketplace technology start-up. In this role, you will develop and implement machine learning algorithms and build product features that directly impact our customers. You will partner closely with our product, and engineering stakeholders to open up new opportunities and accelerate the growth of the business. Your strong foundations in machine learning, statistics, and programming as well as exceptional communication and leadership skills will help shape our data strategy.
What you'll do
Partner closely with Product teams on developing product roadmaps and leveraging Machine Learning techniques to curate a better user experience and drive business results
Work with Engineering teams to build the infrastructure and processes to productionise and iterate ML models
Collaborate with other Data teams on solidifying the data foundation of Slice, including event logging, experimentation, data modelling, pipelining, etc
What we are looking for
Graduate degree in Computer Science, Mathematics, Operations Research or equivalent quantitative fields. PhD preferred
6+ year of total work experience in the industry
4+ years of industry experience in machine learning using mainstream languages such as Python, R, etc
3+ years practical experience delivering production deployed solutions
3+ years experience extract/transform/load large, structured data sets
Experience in partnering with product and engineering teams in developing production-level code to deliver ML-backed product features
Experience in search and recommendation products a plus
Impeccable communication skills and ability to share complex, uncertain results to an executive audience
About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 700+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
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Product Data Scientist Senior And Staff Levels | Mozilla |
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
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Data Scientist | Olive |
Olive is changing healthcare by bringing solutions to all members of the healthcare space: patients, providers, and payers. Olive drives connections across the three sides of the market, shining a new light on the broken processes that stand between providers and patient care. Olive leverages AI and direct-from-source data to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive is connecting the entire healthcare system, so we can all have a healthier tomorrow.Olive is empowering patients to take control of their healthcare. By building a patient-first experience, Olive's app will put their own health, finances, and care into the palm of each patient's hand. Whether you're responsible for yourself, your family, or your parents, Olive wants to help you make confident and informed choices. We are at the beginning of a journey to transform the patient experience. The first step in this journey is to improve one of the worst parts of the patient experience. Olive is taking on the financial side of healthcare--and making it simple, transparent, and effortless. And we're looking for passionate, driven teammates to join us.Responsibilities: Develop models to improve the patient payment experience, bringing confidence, security, and informed decisions to the patient Developing proofs of concept Testing, assessing, and choosing models among competitors Pushing models to a staging environment for testing Pushing models into production Monitoring models in production Updating models as needed to improve performance Understand and maintain data pipelines from raw sources to feature stores for models Communicate within the team on project status / blockers to get help when needed and render aid when able Adhere to security and data protection policies Lead technical discussions and mentor junior team members Communicate to stakeholders outside the team project status & risks Review processes and recommend changes to improve operations Ability to collaborate with colleagues, management, and clients to solve complex problems Ability to deliver quickly, learn, iterate, and maintain machine learning products Data analysis, visualization, and communication Experience with machine learning operations Ability to complete work that is of high quality and documented for colleagues to onboard to the project Ability to collaborate with colleagues and colleagues to solve complex problems Ability to review code in a constructive and collaborative manner Experience and/or training equivalent to Masters in a Machine Learning-adjacent field Experience solving general problems with data Experience with machine learning operations Curiosity and a desire to explore, experiment, and learn Preferred Skills/Experience Nice to Have: SQL ( NoSQL nice-to-have) Python for data science (e.g. pandas, scikit-learn, keras, Tensorflow 2+, py/Flask, spacy and Numpy) Experience with object oriented programming preferred Version control for code (Git preferred) Experience with AWS preferred (e.g. Lambda, S3) Experience with cloud-based compute preferred (e.g. Databricks) Experience with Agile development, continuous integration, testing, deployment & release methodologies Familiarity with HIPAA and the importance of privacy of patient data is a bonus At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.Disclaimer:This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options
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Data Scientist Phd New Graduate | Gopuff |
Position Overview:
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at goPuff? Come join the goPuff Data Science team and #ChangeTheGame.
goPuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 500+ cities within the US and expanding quickly.
Data Science at goPuff is really fun, we are super collaborative, really focused on business impact, and driving a better customer experience via machine learning solutions, modeling and causal inference. Our team is involved end-to-end on the delivery of those models: from deeply understanding our product and our users, to identifying opportunities to enhance the product with data driven solutions, to writing the model’s code and working with engineering on having that model used by different systems across our platform, to experimentally testing and evaluating the performance and impact of our models.
As a Data Scientist at goPuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization, predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. You’ll have the opportunity to make a huge impact on the future success of goPuff.
We’re looking for a doer, problem solver, and thought-leader.
Responsibilities
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects
Deeply understand our users, our product, and our data to identify opportunities for machine learning, optimization and causal inference methods to deliver a better customer experience and make our business more efficient
Build data driven, robust and replicable data science models
Develop frameworks for evaluating and monitoring model performance
Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure, and Google Cloud.
Drive adoption of data products and data science solutions into the product planning process with team leadership
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Qualifications
PhD in operations research, economics, statistics, computer science, or another quantitative field
Hands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
Coding in Python or similar programming language
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
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Staff Data Scientist Virtual Hq Slack | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Virtual HQ product team. This cross-functional team is building features within Slack to allow companies to be more productive while embracing a fully-remote or hybrid working model. This is the biggest opportunity to invent the future of work since we first launched Slack!Our Virtual HQ team recently launched Huddles, a way to recreate quick, informal conversations that would have happened in the office in Slack. We are also building new video and audio-based messaging features that are seeking to replace formerly synchronous, in-person processes and meetings.In this role, you will seek to understand how these features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Virtual HQ. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this new area.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for new product areas
What you should have
5+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of using data to drive product teams to achieve ambitious goals
Expert in at least one programming language for data analysis (e.g. Python, R)
Expert in designing and testing experiments
Experience with statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc)
Experience working on video and audio-based products is a plus
For Colorado-based roles: Minimum annual salary of $142,400. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Senior Data Scientist Slack Connect | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Slack Connect product area. This cross-functional team focuses on building features connect users and teams across organizations to enable productive and proficient cross-company collaboration. Slack Connect has been a huge success since its initial launch! A full stack Data Scientist is welcome to join this fast growing team to contribute to the dream of enabling our customers to collaborate efficiently and safely across organizations in a friction free way.In this role, you will seek to understand how Slack Connect features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Slack Connect. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.You will also inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists to uncover user experience gaps and opportunities.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Partner with data engineering org to design and build slack connect data and metrics structure
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for slack connect and provide data informed target setting
What you should have
3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and deep-diving experiments to guide product launch decisions
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Strong written and verbal communication skills
Experience working in fast changing tech development environment
Experience collaborating with and influencing cross functional partners
For Colorado-based roles: Minimum annual salary of $121,800. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Staff Data Scientist Expansion Slack | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Expansion product team, a cross-functional team that builds foundational product experiences to help teams become successful on Slack. Our team focuses on the critical moments within the team’s lifecycle: creating and joining workspaces, in-product education, growing the number of users on Slack, and purchasing & billing.In this role, you will inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within the company. You will be a strong partner to researchers with varying backgrounds, including user researchers, market researchers, and survey scientists.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply data science methods to understand the most meaningful aspects of our product, users, and business
Organize disparate facts and findings into powerful narratives that have the broadest possible application within Slack
Evangelize evidence-based decision making by partnering with key decision makers and driving accessibility of data and insights
What you should have
5+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and testing experiments
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
For Colorado-based roles: Minimum annual salary of $142,400. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist Data Science And Analytics | Questbridge |
QuestBridge is a national nonprofit program that connects outstanding low-income students with educational opportunities that can change their lives, as well as the demographics of our nation’s leading educational institutions.
The Data Scientist position offers a unique opportunity for someone passionate about bringing their data and technical experiences to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Reporting to the Director of Data Science and Analytics (DSA), this person will lead, manage, and execute on data-related operations and initiatives, often working across multiple teams at QuestBridge.
Our Data Scientist will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to technical experience, this position has a strong focus on rigor, communication, project management, and systems-thinking. If you will enjoy applying your skills to data projects that fuel QuestBridge’s mission, we look forward to reviewing your application!
Role and Responsibilities
Success of this role is defined by achieving the following:
Accurate and efficient implementation of tools, models, and other data operations related to our College Programs, College Partnerships, and other programmatic efforts across QuestBridge
Improvements in QuestBridge’s data consistency, accuracy, and usage
Detailed understanding of the limits and potential of QuestBridge data
Detailed understanding of data used in all analytics projects (including visualizations that help others gain clarity for decision-making)
Well-documented code that others can easily reuse and/or build upon
Timely and relevant analyses and reports for operational use
Completion of complex reporting and analysis requests
Creation and maintenance of documentation of QuestBridge data and data processes
Ability to support data-related operational tasks across the organization
Travel to events to interact and support students and apply these experiences to continuously improve programming
Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities
Other duties, as assigned
Minimum Qualifications
Relevant work experience or training of at least 4 years
Demonstrated experience working in a centralized role that requires collaboration with many teams across a given organization
Experience leading a project from ideation to implementation
Previous success in leading data initiatives for impact (scoping, managing stakeholders, visualization, insights, improved decision-making)
Ability to leverage best coding practices to conduct data cleaning, data wrangling, analyses, and build data products
Familiarity with some or all of the following:
SQL
Python (Pandas, Scikit Learn, etc.)
R
Git
Statistics
Functional programming
Exceptional attention to detail, with ability to maintain focus on the larger picture
Strong written, and verbal communication skills
Ability to manage multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environments
Ability to incorporate feedback
Track record of taking initiative
Passion for QuestBridge’s mission
Preferred Qualifications
Master’s Degree in Computer Science, Statistics, Economics or another quantitative field
Experience working with data in the education sector
Track record of producing analyses that result in meaningful decision-making
Experience increasing efficiency of processes, and automation of analyses and reporting
Experience using CRM platforms and application
Experience with using data science and machine learning techniques to help teams and organizations better serve their constituents
Compensation
Competitive compensation is commensurate with experience and skills for the position.
Hours and Location of Work
This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter.
Application Process
Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now!
Thank you for your interest in employment with QuestBridge. QuestBridge is an equal opportunity employer.
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Data Scientist Ii Algorithmic Justice Specialist | Aclu |
ABOUT THE JOB
The ACLU seeks applicants for the full-time position of Data Scientist II- Algorithmic Justice Specialist in the Analytics Department of the ACLU’s National office in New York, NY/ Remote*.
ACLU Analytics partners with teams across the organization to enable the ACLU to make smart, evidence-based decisions and bring quantitative insights on our issues to the courtroom and the public. Our team's work ranges from social science research for litigation & advocacy, to analysis & reporting for fundraising and engagement, to building and maintaining our data infrastructure. We strive to ensure the ACLU leads by example in the ethical use of data and technology. This includes maintaining our privacy and security standards, pushing for transparent data practices from government and corporate actors, and helping to steward high standards for algorithmic fairness, accountability, and transparency.
Reporting to the Director, Legal Analytics & Quantitative Research, the Data Scientist II- Algorithmic Justice Specialist will be a be part of the Legal Analytics & Quantitative Research team, and work with team members across Analytics as well as stakeholders on our Legal and Policy teams, and in the ACLU affiliates. You will also collaborate closely with other Data Analysts, Data Scientists and Data Journalists on the Analytics team.
* Note: this position can function remotely from a U.S. location on an interim basis and may be eligible for permanent remote work from a location within the U.S.
RESPONSIBILITIES
Below is a sampling of projects you can expect to dive into:
Evaluate algorithms and predictive models using a range of techniques to assess their impact on marginalized communities, especially but not limited to disparities based on race, gender, sexuality, disability status, immigration status, income, and housing status
Analyze disparities in policing, housing, criminal law enforcement, employment, and education, sometimes in contexts where algorithms are used or considered, and sometimes in contexts where they are not
Review local, state and federal policies and legislation related to data, algorithms, and predictive analytics, and provide recommendations from a technical lens on how to make those policies more fair, transparent, and accountable
Submit FOIA requests to obtain data and models from jurisdictions using predictive analytics for further analysis
Build models that "flip the script" on decision-makers to evaluate judges, prosecutors, and other players to identify bias in the criminal justice and immigration systems
Identify new areas of opportunity for algorithmic justice work
Engage in special projects and other duties as assigned
Center principles of equity, inclusion, and belonging in all work, embedding the values in program development, policy application, and organizational practices and processes
EXPERIENCE & QUALIFICATIONS
Extensive experience conducting descriptive analysis and using or evaluating predictive models in a research or applied setting
Experience evaluating the ethics of algorithm scoping, development, testing and/or deployment in a research or applied setting
Mastery in R or Python, and ability to rapidly learn new frameworks and methodologies
Ability to distill complex quantitative results and methodologies into plain language for lawyers, advocates, judges and the public
Familiarity with modern methods for assessing fairness in predictive models
Experience acting as a technical mentor or guide to junior colleagues and interns (e.g., acting as primary code reviewer in a team setting)
Commitment to the mission of the ACLU
Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance
Commitment to work collaboratively and respectfully toward resolving obstacles and/or conflicts
PREFERRED QUALIFICATIONS
Knowledge of concepts such as AI/ML auditing, algorithmic impact assessments, explainability, transparency, recourse, robustness, human-ai interaction, and/or other topics in the AI ethics domain
Experience with algorithmic decision-making systems or predictive analytics in a governmental or industry setting
Experience conducting causal inference using natural experiments, administrative data, or other observational methods
Experience with criminal justice, immigration, or other public sector data
COMPENSATION
The annual salary for this position is $115,638 (Level F). This salary is reflective of a position based in New York, NY. This salary will be subject to a locality adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Note that most of the salaries listed on our job postings reflect New York, NY salaries, where our National offices are headquartered.
ABOUT THE ACLU
The ACLU dares to create a more perfect union – beyond one person, party, or side. Our mission is to realize this promise of the United States Constitution for all and expand the reach of its guarantees.
For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach.
Equity, diversity, and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.
The ACLU is an equal opportunity employer. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law. Black people, Indigenous people, people of color; lesbian, gay, bisexual, transgender, queer, and intersex people; women; people with disabilities, protected veterans, and formerly incarcerated individuals are all strongly encouraged to apply.
The ACLU makes every effort to assure that its recruitment and employment provide all qualified persons, including persons with disabilities, with full opportunities for employment in all positions.
The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email [email protected]. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.
The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program.
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Senior Staff Data Scientist Product Health Team | Twitter |
The Position
Defending the health and integrity of the public conversation is Twitter’s top priority. The Health Data Science Team partners with Product, Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Health space and use this understanding to empower the Health Organization to better protect our users.
As a Data Scientist on the Health Data Science Team you will:
Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. Design, implement, and analyze experiments to determine how new models or products improve the health of the platform. Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.Communicate findings to executives and cross-functional teams.Review other data scientists’ code and results to foster a culture of rigorous analysis and constructive feedback. Help set the team direction by driving cross-functional alignment on projects and priorities.
Qualifications
Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, and machine learning.Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.Strong proficiency with Python / R and SQL; familiarity with Spark.Experience mentoring junior data scientists.
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Twitter |
The Position
Who We Are:
The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science.
What You’ll Do:
We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels.
Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter.
Qualifications
2+ years of work experience in data-driven analytics/predictive analytics/statistical modeling/machine learning/data mining.2+ years of experience in Python or R2+ years of experience with A/B testing and ExperimentationExperience using data intelligently to optimize product performanceGood understanding of how to grow and shape data tools and datasets to improve data-driven decision makingAbility to thrive in an unstructured environment, working autonomously on a strong team to find opportunities and deliver business impact
Bonus points:
Past experience in Ad-techExperience building ML modelsPhD or MS in computer science, machine learning, or statisticsGood understanding/experience of (one or more of the following): Java, Scala, or C++Interesting side projects or Kaggle competition results
Company Description
Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate, and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
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Health Data Scientist | Booz Allen Hamilton |
Health Data Scientist
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public healthcare. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, apply machine learning, help scale machine learning applications to new clients and challenges, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our federal government clients make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public healthcare. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
4+ years of experience with data science, data analytics, or research engineering or analyticsExperience with healthcare or clinical data modeling for advanced analytics, machine learning, or predictive analyticsExperience with scripting languages, including Python and RExperience with machine learning packages, including Keras, Pandas, TensorFlow, or NumPyAbility to obtain a security clearanceMaster's degree
Nice If You Have:
Experience with creating data infrastructure models and implementing them in client systemsExperience with data analysis for health-related organizations, including FDA, NIH, and commercialExperience with managing disparate data sources, including preprocessing, cleansing, and verifying data integrityExperience with performing data exploration and analysis to support analytics objectivesExperience with data visualization tools or technologies, including Tableau, Qlik or RShinyAbility to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situationsAbility to work independently to achieve results with minimal guidance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
The proposed salary range for this position in Colorado is $95,000 to $125,000. Final salary will be determined based on various factors.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.
#LI-Remote
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Data Scientist Lead | Booz Allen Hamilton |
Data Scientist, Lead
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a Data Scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve strategic innovation for the federal government. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal health organizations make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the federal government. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
8+ years of experience with designing, developing, and leading analytics or software development projects, including in a technical strategy or project management roleExperience with program management in the ICExperience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics servicesKnowledge of advanced analytics, artificial intelligence or machine learning initiatives within the IC and DoDAbility to manage programs with competing prioritiesTS/SCI clearance with a polygraphBA or BS degree
Nice If You Have:
Experience with managing national intelligence programsExperience with the application of data science and machine learning algorithms, including structured, unstructured, or relational and data mining and machine learning techniquesExperience with developing and implementing successful market strategy and business development and leading proposal, project, and intellectual capital creationExperience with developing analytics for geospatial and commercial imagery dataExperience with deep learning frameworks, including Theano, Torch, Caffe, or AWS RekognitionExperience with Natural Language Processing toolkits, including Stanford NLP or OpenNLPAbility to be well-versed in modern software development techniques, methods, and technologiesMA or MS degree in Computer Science, Mathematics, or Physics preferred; PhD degree in Computer Science, Mathematics, or Physics a plus
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation:
The proposed salary range for this position in Colorado is $130,000 to $180,000. Final salary will be determined based on various factors.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
· access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
· change the world with the Data Science Bowl—the world’s premier data science for social good competition
· participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.
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Data Scientist Intern | Circle |
You will aspire to our four core values:
Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
Mindful - you seek to be respectful, an active listener and to pay attention to detail.
Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.
High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance.
What you’ll do:
As a Data Scientist Intern, you work on meeting Circle’s goal of becoming the premier platform for tokenizing, investing in and trading of crypto assets. As a part of your job you will design and implement machine learning algorithms that significantly impact results and decision making for risk, compliance, marketing and trading functions at Circle.
What you’ll work on:
Evangelize the power of analytics to improve our business and operations
Create text-based classification algorithms to help improve customer experience across a range of products offered by Circle.
Create machine-learned predictive models that guide our fraud prevention and compliance
Become an expert on data sources and flows at Circle, including Bitcoin blockchain analysis
Collaborate with Engineering and Tech Ops teams to optimize and simplify the deployment and upgrade process for the models your team builds
Identify actionable insights and provide recommendations to cross functional groups
What you'll bring to Circle (Not all required):
Currently pursuing MS or PhD with dissertation in a topic related to data science such as machine learning, linear models and so on
Strong communication skills, able to collaborate with remote teams, explain insights/models in an understandable way to non-experts, in both formal presentation and informal group conversations
Some experience or coursework applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning is strongly encouraged
Knowledge of SQL and expertise with at least one scripting language (e.g. Python)
Ability to understand business problems and break down into structured analytics projects
Self-starter with a curious mindset, enjoy moving at a fast pace, constantly improving your work with little supervision
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Staff Lead Data Scientist | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Senior Research Scientist Applied Ml | Opendoor |
About Opendoor:
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.
About the Role: As a Senior Research Scientist, you will demonstrate data breakthroughs for Opendoor. You will create and develop a diverse portfolio of proofs of concept, balancing project risk versus potential impact. You have a portfolio mindset, minimizing risk by exploring a variety of uncorrelated projects, rigorously prioritizing projects given the uncertainty, and working inside fast feedback loops. Projects can range from step-function algorithmic improvements due to integrating new data sources to partial- or fully algorithmic automation of human processes, driving leveraged operational efficiencies.
Our Team:
Pricing Prediction - Responsible for all the core pricing prediction models, but in particular OVM (which predicts the value of a specific home right now) and HPA (which predicts the value of homes over time). If algorithmic pricing is the heart of Opendoor, this is the heart of algorithmic pricing. You can learn more about OVM, the Opendoor Valuation Model, on our blog.
As a Research Scientist, you will:
Build and evolve models that drive massive customer impact
Identify opportunities at all stages of the modeling lifecycle, including new models, new data sources, enhancements to models, and rapid feedback loops
Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
Produce convincing structural and data-driven analyses to falsify ideas or move them forward
Clearly and concisely articulate the business impact of your work
Work pragmatically at a high cadence to ship modeling opportunities, such that we generate high learning throughput
We’re looking for teammates who have:
Ability to work with production ML/DL systems, including landing and reviewing production code
Knowledge of recent advancements in deep learning, both theoretical and applied
Mastery of coding and testing in Python or another object-oriented language
Ability to quickly (1-2 weeks) build proofs of concept and identify the highest-leverage areas to iterate efficiently
Experience building and deploying production models using deep learning frameworks such as Pytorch or Tensorflow (we use Pytorch + Lightning)Strong knowledge of statistics and machine learning
Highly effective verbal and written communication skills
Bonus points:
4+ years of ML/DS and generalist engineering experience over a diversity of products
A risk-aware, investor’s mindset (seeking out and placing bets on a portfolio of projects)
Experience working with temporal holdout sets in machine learning or statistical models (e.g. time series forecasts)
A public portfolio of full-stack data products, demos, or blog posts
More About Us:
Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.
We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 70% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness:
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
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Data Scientist | Sensyne Health |
About Us:At Sensyne Health we combine technology and ethically sourced patient data to help people everywhere get better care. To do this, we have created a unique partnership with the NHS that delivers a return to our partner Trusts and unlocks the value of clinical data for research while safeguarding patient privacy. Alongside this, we develop clinically validated software applications that create clinician and patient benefit while providing highly curated data. Our products include vital-signs monitoring in hospitals and patient-to-clinician apps to support self-care and remote monitoring of gestational diabetes and chronic diseases such as COPD and heart failure.We use our proprietary clinical AI technology to analyse ethically sourced, clinically curated, anonymised patient data to solve serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development, and post-marketing surveillance.The Team:We are an agile team of clinically led data science and machine learning specialists who use AI technology to analyse ethically sourced, clinically curated, anonymised patient data. Our work aims at solving serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development and post-marketing surveillance. The nature of our team is collaborative with an emphasis on genuine passion for healthcare.As a central member of a dynamic, multi-disciplinary team of scientists passionate about transforming patient care by data-driven machine learning, you will bring your deep understanding of medical data science to perform key research, data analysis, insight gathering and decsion making from anonymised real-world patient data. Your work with experts in artificial intelligence, deep learning, informatics, statistics, drug discovery and clinical translation/commercialisation will enable us to discover robust clinical insight that will ultimately make a difference to the lives of patients and healthcare worldwide.How you'll help: Perform robust analyses of anonymised real-world patient data and communicate results with sophisticated visualisation methods Assist with the publication of scientific papers and case studies Support clinical projects to guide care management and create analytical solutions to address questions of interest to our pharma stakeholders Create and implement statistical & machine learning algorithms, assessing their effectiveness through solid validation workflows Responsibilities: Advanced degree in data or computer science, medical statistics, mathematics or similar Proficiency in data-focused programming and scripting languages (Python, SQL) Expertise with the analysis of clinical, medical or biological data Knowledge of data science, statistics and machine learning Ability to work independently and effectively in a fast-paced, team-based environment; ability to prioritise tasks and meet multiple deadlines on concurrent projects Advanced coding and software development skills are highly desirable Excellent verbal and written communication and presentation skills; excellent organisational skills; and excellent interpersonal skills to work effectively in a diverse team 5% employer matched salary sacrifice Pension scheme Life Assurance & Income protection A range of health, wealth and lifestyle benefit plans including BUPA, Gym and holiday trade options Electric Vehicles & Cycle to work schemes Proactive career development planning
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Associate Data Scientist Carbon | Indigo |
We are an international AgTech startup pioneering an ambitious mission in a high-growth industry where agriculture meets technology to solve our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced partner ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer.
The Carbon Data Science team explores and interprets data from the frontiers of carbon sequestration and quantification technologies. We are looking for a data scientist who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program.
Responsibilities:
Reporting & Quality Assurance:
Provide a centralized overview of data available for exploring and evaluating new technologies, including both internal experiments and literature review
Define automated data quality tests, which can be implemented by a software engineering or field data team
Model Integration:
Translate diverse data streams into standardized inputs for running a range of models
Collaborate with other data scientists and subject matter experts to build, train, and test models related to sequestration
Analysis & Exploration:
Develop frameworks to evaluate new sequestration and measurement technologies
In collaboration with other data scientists, explore and analyze data from tech pilots, internal experiments, data sharing agreements, etc.
Quantify the potential benefits of new technologies and contribute to recommendations
Competencies:
Collaborate on data exploration and reporting with teammates using a version control system, working in SQL and Python
Understand and manipulate data to create useful visualizations with actionable insights for internal and external consumption. Make creative and aesthetically appealing visuals that tell a story to enable clear and impactful action
Collaborate well cross-functionally in a professional and effective manner. Balance and prioritize competing demands to create the highest overall value
Translate functional requirements into easy-to-use, flexible reporting solutions and dashboards
Quantify the statistical significance of simple experimental trials
Articulate complex ideas and concepts into understandable insights that enable decisions for specific audiences
Refine broad or ambiguous goals into clear questions and actions
Demonstrate outstanding problem-solving skills
Actively seek answers to questions as a self-starter
Qualifications:
BS or higher in a technical field, such as Physics, Agronomy, or Statistics (preferred) and/or relevant industry experience
Technical Requirements:
Proficiency with Python, R, or another programming language
Proficiency with visualization frameworks
Proficiency with SQL (any dialect)
Experience with version control (preferred)
Experience with geospatial analysis (preferred)
Experience with data modeling and warehouse architecture
Experience working cross-functionally:
Experience working with agile software development teams (preferred)
Ability to work with diverse stakeholders to translate ambiguity into clear project requirements
Experience working in a fast-paced, growth environment
Benefits:
Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan
Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.
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Data Scientist Ii Marketing Science Specialist | Aclu |
ABOUT THE JOB
The ACLU Analytics team is seeking to fill a full-time role for a Data Scientist II - Marketing Science Specialist at the ACLU’s National office in New York, NY/ Remote*.
Reporting to the Director of Engagement Analytics, the Data Scientist II - Marketing Science Specialist role provides a unique opportunity to work on interesting and challenging problems by focusing on the use of innovative advanced analytics to transform the way the ACLU approaches fundraising, marketing, digital communications and supporter engagement.
The ACLU Analytics team works cross-functionally to make smart, evidence-based choices and bring quantitative insights on our issues to the courtroom and the public. Our team's work is diverse and ranges from social science research for litigation & advocacy, analysis & reporting for fundraising and engagement, building and maintaining our data infrastructure - and much more.
You will thrive in this role if you are able to effectively use the data science toolset inclusive of descriptive analysis, statistical methods, and predictive analysis in service of real-world business objectives, have experience with mass marketing practices and data, are service-oriented and collaborative and have a curiosity and willingness to explore.
We read all cover letters and would love to hear why you would like to work at the ACLU, what aspects of our mission you are passionate about, and what you will bring to this role!
*Note: this position can function remotely from a U.S. location
RESPONSIBILITIES
As a member of the Engagement Analytics team, you’ll be joining a group of synergetic, agile and supportive colleagues working across a variety of stakeholder groups. Below is a sampling of projects you can expect to dive into:
Enhancing advanced multi-touch attribution modelling and/or media mix modelling along with optimization tools to ensure our online and offline channel investments are made strategically
Using NLP to detect/confirm the issues covered in our emails, actions and news pages and applying this to improve segmentation and engagement with our community
Acting as a strategic thought partner to ensure bold, effective, A/B/n testing is applied – as well as mentoring analysts who support these programs day-to-day
Building a variety of propensity models (eg 1x to monthly, upgrade/downgrade, etc) that can be deployed into production systems, aligned with fundraising activities, tested and optimized
Improving and enhancing team data science and engineering practices with documentation, mentorship and peer review
Engage in special projects and other duties as assigned
Center principles of equity, inclusion, and belonging in all work, embedding the values in program development, policy application, and organizational practices and processes
Commitment to the mission of the ACLU
Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance
Commitment to work collaboratively and respectfully toward resolving obstacles and/or conflicts
EXPERIENCE & QUALIFICATIONS
Skill applying data science and advanced analytic tools in a fundraising, marketing, or web/social/digital setting
Strong fluency in Python or R, and ability to review, understand, and critique code in both languages
High familiarity of the data science toolset inclusive of descriptive analysis, statistical methods, and predictive analysis in service of real-world business objectives
Knowledge of testing methodologies and building/supporting large-scale experimentation
Skilled in putting models into production or analysis (and turning insights into actions) for long-term usage including writing back to source systems and supporting ELT pipeline development
A strong foundation in relational databases and database query languages (e.g. SQL)
Excellent communication skills; ability to synthesize quantitative results for a wide range of non-technical stakeholders across various functions and levels of an organization
Strong data visualization skills
NICE TO HAVES / AREAS YOU WILL GROW IN
Experience acting as a technical mentor or guide to junior colleagues / interns (e.g. acting as primary code reviewer in a team setting)
Knowledge of complex statistical methodologies/tools beyond data science essentials (e.g causal inference techniques, geographic-based experiments, bayesian inference and associated tooling, multi-touch attribution -- eg. markov chains, LSTM, etc -- and/or market mix modelling -- eg. hierarchical bayesian time series.) is a plus
Knowledge of CRM technologies such as Salesforce
Knowledge of web analytics tools (e.g., Heap, Mixpanel)
Knowledge of web testing tools (e.g., Optimizely, Site24x7)
COMPENSATION
The annual salary for this position is $115,638 (Level F). This salary is reflective of a position based in New York, NY. This salary will be subject to a locality adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Note that most of the salaries listed on our job postings reflect New York, NY salaries, where our National offices are headquartered.
ABOUT THE ACLU
The ACLU dares to create a more perfect union – beyond one person, party, or side. Our mission is to realize this promise of the United States Constitution for all and expand the reach of its guarantees.
For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach.
Equity, diversity, and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.
The ACLU is an equal opportunity employer. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law. Black people, Indigenous people, people of color; lesbian, gay, bisexual, transgender, queer, and intersex people; women; people with disabilities, protected veterans, and formerly incarcerated individuals are all strongly encouraged to apply.
The ACLU makes every effort to assure that its recruitment and employment provide all qualified persons, including persons with disabilities, with full opportunities for employment in all positions.
The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email [email protected]. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.
The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program.
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Senior Manager Data Science Analytics | Wayfair |
Wayfair Analytics is the engine that powers an enterprise obsessed with data, where Data Science plays an ever-increasing role in how we serve our customers. This role will directly enable the growth of the Product Information Extraction (PIE) project at Wayfair. The team is responsible for programmatically extracting, imputing and validating product information to streamline the addition of new products into the catalog. Our objective is to improve both the end customer experience and Wayfair’s internal efficiency by ensuring product investment throughout the value chain. The team heavily leverages Data Science and Machine Learning, as well as Analytics, to achieve these goals.
The Data Science Analytics team leverages Wayfair’s huge datasets to inform the roadmap of our Data Science / Machine Learning development. We work in close collaboration with a high performing team of engineers, machine learning engineers/data scientists and product managers who are on the leading edge of Data Science.
In this role, you can expect to lead a team to integrate our Data Science-driven recommendations into new use cases within Wayfair, working closely with business stakeholders and product managers to drive measurable outcomes. You / your team will work closely with product managers, data scientists and engineers to define, implement, and maintain key metrics that inform the health / successes of our product. You / your team will do exploratory data analysis to generate new insights & inform our roadmap.
What You'll Do
You will be responsible for managing a team of data analysts that are embedded in our data science workstreams. Set a high bar and level up the team's technical capabilities and business awareness
Influence cross-functional executive leaders across the organization through communicating key insights and recommendations. You will have to persuade stakeholders with differing levels of analytical proficiency
Define the 6-12 month strategic analytics roadmap for the team, in collaboration with our stakeholders
Build and innovate scalable processes for model performance monitoring and related components like data quality and data engineering. Also responsible for metrics definition, reporting and translating into business KPI impact
Cooperate closely with Data Scientists, Engineers and business stakeholders, contributing to the cross-functional partnership, strategy and roadmap
Further build the team and an inclusive working environment by creating and developing the team vision, strategy and OKRs
Partner closely with tech enablement teams in Infrastructure and Data Engineering, and influence their roadmap based on the needs of the data science team
Uncover and understand insights hidden in our vast repository of raw data, provide and share tactical guidance on how to act on findings
Set a high bar and level up the team's technical capabilities and business strategic thinking
Deliver presentations with compelling visualization and storytelling to business stakeholders, to support data-driven decision making and ultimately enhance the experience of our customers and our suppliers
What You'll Need
5+ years of work experience in a data analytical role wrangling with large-scale data
Demonstrated ability to build, develop and manage high performing team to deliver business impact with track record, particularly in a cross-functional and multi-stakeholder environments
Strong quantitative skills, knowledge and experience with various analytical methods including statistics and experimentation.
Strong communication skills – ability to synthesize conclusions for non-experts and desire to influence business direction
Experience in aligning quantitative and technical work closely with business priorities and business value
Mastery of writing SQL queries; experience with programming (Python/R), big data frameworks and cloud-based analytics tools (preferably GCP)
Prior hands on experience of building tools, reporting and analytics for performance evaluation of machine learning models
Strive in a dynamic, fast paced environment;
About Us
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are sure that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and a dynamic working environment, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
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Senior Manager Data Science | Wayfair |
Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods.
Wayfair Professional’s (B2B) mission is to help businesses make good spaces great. We leverage Wayfair’s platform to serve professional customers in many industries, including Interior Design, Commercial Office, Contractor, Property Management, Accommodations, Foodservice and Education, with cross-functional teams focused on improving the customer experience in each target vertical.
This leader will own the development of algorithmic decision support systems that power abroad spectrum of decisions across multiple customer touchpoints to better serve the needs of the business customer segment (Wayfair Professional), a key strategic priority for Wayfair LLC.
The team leader owns the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups that govern the B2B customer experience. This is an ideal opportunity for a leader who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact to Wayfair’s business customers’ end-to-end experience through advanced data science and machine learning techniques.
Above all, you’ll get to work on problems that are both intellectually-challenging and drive real, measurable impact, first and foremost, for our customers - and as a result for Wayfair at large. To get a better sense of the type of projects we work on, check out our Data Science & Machine Learning blog posts here!
What You'll Do
Lead a team that applies state of the art data science and machine learning techniques to transform how we interact with current and prospective business customers
Drive significant business growth and impact by collaborating with Marketing, Sales, Storefront, Profit Management, Product, and Engineering teams to scope, develop, and deploy holistic data science solutions to power end-to-end B2B customer experience and drive significant business growth and impact
Manage a broad portfolio of existing initiatives and evolve them to be scalable, platform-oriented data science products. These include, but are not limited to, models and frameworks for contact personalization, customer targeting across touchpoints, tailored experience for large project shoppers, and intelligent sales discount recommendation system.
Lead the design and development of intelligent products that leverage a wide variety of data sources - e.g. 1st- and 3rd-party data on customer behavior, order history, firmographic information, sales call recordings and transcripts, etc. - to improve customer targeting and agent productivity
What You'll Need
Master’s degree in Computer Science, Engineering, or related quantitative fields; PhD preferred
4+ years of experience leading multi-disciplinary technical teams comprised of data scientists and engineers of varied levels of experience
Thorough command of general data science and machine learning techniques
Relevant experience designing and implementing customer-facing systems that are scalable, fast, and resilient
Track record of delivering large cross-functional projects and managing multiple stakeholders with competing priorities
Good understanding of experimental techniques for the design of A/B tests to measure the impact
Communication skills that can influence across organizations and at all levels
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
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Principal Data Scientist Marketing Algorithms | Wayfair |
Principal Data Scientist - Marketing Algorithms
This is a senior IC leadership position for someone with 10+ years of prior industry experience in a research role designing algorithms to support bid optimization, ad creative optimization, content creation, and targeted ad delivery. As a Principal Scientist within our Data Science and Machine Learning group, you will drive our biggest challenges, turning business asks and creative ideas that do not have an obvious blueprint into scalable modelling solutions that run in real-time. This is an individual-contributor role focused on research and implementation of novel approaches and techniques that cut across our entire stack: from ad buying, bidding, & pricing optimization to attribution measurement and experimentation, you will touch the experience of all of our customers across all of our sites, apps, and marketing channels. You will get an opportunity to work with one of the largest e-commerce datasets out there, come up with innovative algorithms and solutions, and work with a growing team of ~150 to test these solutions in live experiments, and implement them as scalable production systems.
What you will do
Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine (and deep) learning techniques to support bidding optimization, ad creative optimization & content creation, and targeted ad delivery.
Setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
Keep abreast of relevant research in online ad auction design, computational advertising, computational economics, search and information retrieval, online advertising (sponsored search), and privacy protection.
Maintain expert knowledge in computer science, machine (and deep) learning, data mining, natural language processing, reinforcement learning, machine perception algorithms, large-scale optimization techniques and more.
Engage in broader strategy and execution discussions in the Data Science Organization, providing input from your program experiences to enhance our priorities across the board.
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies.
Actively contribute to the wider data science and machine-learning community by sharing and publishing your findings, both within Wayfair and through collaborations with research programs at partner universities and technical institutes.
What you bring
10+ years of experience in research & development, with substantial time spent both in an academic setting and within industry or a research-lab type of environment.
History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact and/or publications.
Previous expertise in computational advertising, bid optimization, machine (and deep) learning, natural language processing, & machine perception algorithms required.
You are hands on and comfortable coding on an industry-standard machine-learning stack (Hadoop/Bigquery, Spark, Python, Jupyter).
You love seeing your work through to customer impact!
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
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Data Science Tech Lead Catalog | Wayfair |
Who We Are
Wayfair’s Data Science team builds the algorithmic systems that drive our business, enhance customer experience, & improve customer loyalty. The Data Science Catalog team at Wayfair develops machine learning models to: (1) improve customer experience by accurately tagging products using multimodal data sources (image, text, categorical, numeric, etc.), (2) drive catalog and pricing strategy by powering comparisons between large numbers of products, and (3) solve the product cold-start problem to enable customers to find the best new products.
We partner closely with our Merchandising, Engineering, and other Data Science teams in order to build scalable algorithmic systems responsible for predictive modeling that drives business strategy for various merchandising and supplier side teams.
We are looking for a technical lead to join the Data Science Catalog team, with an emphasis solving ambiguous machine learning problems to better identify the best new SKUs in Wayfair’s marketplace. You will be working together with other data scientists, as well as multiple merch and engineering teams to solve one of our most impactful and intellectually challenging data science problems at Wayfair.
What You'll Do
Develop quantitative models using multiple types of data (image, text, categorical and numeric data), leveraging machine learning and advanced data analysis techniques
Architect and build technical platforms for our algorithmic engines to run at scale
Leverage our work in order to increase adoption across our business partners, to drive real business value
Work with partner engineering teams to build real-time models & services for company-wide consumption
Uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data
What You'll Need
4+ years of experience in a quantitative or technical work environment or advanced degree (PhD) in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
Experience with GCP, Airflow, and containerization (Docker) are nice to have
A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
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Data Scientist Lead Computer Vision Remote Work Available | Usaa |
Purpose of Job
We are seeking a talented Data Scientist Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work remotely in a 100% Remote Work Environment.
This role will have a heavy focus on developing and advancing the Bank’s computer vision capabilities by delivering computer vision solutions to meet critical business needs and by serving as subject matter expert to develop the skills of other data scientist.
Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought leaders to ensure enterprise has access to cutting-edge thinking and technologies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Expert in Computer VisionExperience in building advanced analytics for a Bank product, preferably Mortgage Banking.Expert in Natural Language Processing.Excellent communication and storytelling skills.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Data Scientist I Retail Bank Remote Work Available | Usaa |
Purpose of Job
We are seeking a talented Data Scientist I for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
As a data scientist supporting Retail Banking, you will be partnering with product managers, IT, and other data scientists to build and deliver advanced analytical solutions for Credit Card, Consumer Lending, Deposits and Payments. In this role, you will build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The incumbent will be expected to share and apply their knowledge of current state-of-the-art methods, technologies, and applications across data science fields, including statistics, programming languages, unsupervised learning, etc. This position will leverage interpersonal skills to translate the complexity of work into tangible business recommendations.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge in Retail Banking, Real Estate, Omni, Fraud & Central Ops is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Senior Data Scientist | Activecampaign |
Senior Data Scientist
United States
ActiveCampaign's category-defining Customer Experience Automation Platform (CXA) helps over 150,000 businesses in 170 countries meaningfully engage with their customers. The platform gives businesses of all sizes access to 500+ pre-built automations that combine email marketing, marketing automation and CRM for powerful segmentation and personalization across social, email, messaging, chat and text. Over 100,000 of ActiveCampaign's customers use its 850+ integrations including Microsoft, Shopify, Square, Facebook, and Salesforce. ActiveCampaign scores higher in customer satisfaction than any other solution in Marketing Automation, CRM, and E-Commerce Personalization onG2.com and is the Top Rated Email Marketing Software on TrustRadius. Pricing starts at just $9/month. Start a free trial at ActiveCampaign.com.
As a global multicultural company, we are proud of our inclusive culture which embraces diverse voices, backgrounds, and perspectives. We don’t just celebrate our differences, we believe our diversity is what empowers our innovation and success. If this matches your goals and interests, we hope you consider joining our team!
As one of the fastest-growing SaaS companies, we are scaling rapidly to keep up with market demand. We are growing all of our teams and looking for people who share our values, deliver innovation frequently, and join us in our mission to grow our customer base from 150,000 today to millions.
We are currently seeking a creative Senior Data Scientist to join our Data Science product team. The Senior Data Scientist will leverage value from terabytes of platform data including user-UI interactions, email and marketing content, email enrichment tags, etc.
Past data science products have included predicting deal closures, email send schedules, and suggesting best email. We have also worked on optimizing our platform’s marketing automations and much more.
What your day could consist of:
Interviewing business teams and brainstorming appropriate (accuracy & effort) data science solutionsCollating existing and new hypothesized data sets for proof of conceptsStatistically exploring data with underlying business processes in mindPrototyping data science/machine learning models, then polishing laterBuilding data science products from proof-of-concept to productionCreating solid quant metrics of impact, making them visually accessibleLetting creative ideas rule the day. Don't settle for the first solution, research and dig to the coreOngoing support of in-production models (change in process, abnormalities, outliers etc.)Presenting data as a storyPromoting data science products company-wide
What is needed:
Extensive and proven experience delivering sound analytical insight with statistics and machine learning (business or science)Ability to explore and prototype independently in Python (preference) or any other (e.g. R, Mathematica, Matlab) yet moving to PythonExcellent SQL skillsExcellent communication and business analysis skills. We improve business processes, understanding them fully (including underlying data) is the keyA desire to be part of a small team where hierarchy is discouraged, everyone's input matters, your work has a high impact, and everyone is working togetherInformation sponge, you live data and relationshipsResearch scientific papers/business solutions from cross-functional fieldsRe-use as much as possible
Perks and benefits:
ActiveCampaign is an employee-first culture. We take care of our employees at work and outside of work. You can seemore of the details here, but some of our most popular benefits include our comprehensive health and wellness benefits (including no premiums for employees on our HSA plan, tele-health and tele-mental health, and access to the Calm app for meditation), open paid time off, generous 401(k) matching with no vesting, a generous stipend to outfit your remote office, and a focus on career growth including access to personal and professional coaching. We take a proactive approach to diversity and inclusion and offer parental leave, career pathing, and support employees’ ongoing learning and development through Udemy and access to life coaches via Modern Health. We also offer cool swag.
ActiveCampaign is an equal opportunity employer. We recruit, hire, pay, grow and promote no matter of gender, race, color, sexual orientation, religion, age, protected veteran status, physical and mental abilities, or any other identities protected by law.
Our Employee Resource Groups (ERGs) strive to foster a diverse inclusive environment by supporting each other, building a strong sense of belonging, and creating opportunities for mentorship and professional growth for their members.
Our core values:
Start with trust
Make the customer a hero
Cultivate inclusion & diversity
Iterate everything, always
Create WOW
Pursue growth with gratitude
Visit here to learn about perks and benefits at ActiveCampaign and see our values in action.
#BI-Remote
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Data Scientist | Yelp A77C106C 1803 48C6 998E Cad28F8D5294 |
At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.
The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders
What It Takes to Succeed:
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development
It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
CCPA Privacy Notice
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
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Senior Data Scientist North America | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Senior Data Scientist - United States or Canada
Duration: Permanent
Location: United States or Canada
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Senior Data Scientist to develop and build search, personalization and recommendation solutions.
Using your deep machine learning expertise while considering the broader business context, you will develop industry-leading recommendations in visual search.
This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics.
Your Next Challenge:
Build industry-leading algorithms for search, personalization, and recommendations, using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Guide and mentor other data scientists and data analysts in formulating and implementing our technical roadmap
Contribute to development our technical ranking strategy alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms and models in the production process
What You’ll Need:
Confirmed expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 3 years validated experience
Proven expertise providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and contending objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred
Mental and Physical Demands:
Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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Lead Data Scientist Search And Personalization | Getty Images |
Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications. While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.
Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).
Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.
Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.
Lead Data Scientist, Search and Personalization - United States or Canada (Remote)
Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP
Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.
Who You Are:
We are looking for a Senior Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!
Your Next Challenge:
Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process
What You'll Need:
Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful
Mental and Physical Demands:
A quiet location with reliable high-speed internet connectivity, an environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment
Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.
Benefits at Getty Images
Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire. For more information on these benefits, you may request an electronic copy of our Benefits Guide.
Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.
Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.
Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.
Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.
401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!
Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.
Leadership Principles
As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.
We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.
We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.
We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.
We care, are kind, courteous, and respectful
We will not tolerate rudeness.
We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.
We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.
We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.
We deliver on our commitments, and commercial goals
With one voice and shared accountability.
We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.
We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.
Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email [email protected].
Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.
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