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Data Science Lead | Moonpay |
The team ❤️
The data team is here to build, maintain and serve the best in class data platform to the whole of MoonPay, enabling all the teams to be able to take key data driven decisions and gain further insights into our operations. We're well established within MoonPay but there is still more than ample opportunity for you to come in with your own ideas and help shape our future.
Tech Stack 💻
GCP, BigQuery, Postgres, Python, Airflow, DBT, Looker
What you’ll do 👀
Lead the data science team by identifying and leaning into opportunities to advance the data science discipline at MoonPay.
Mentor and manage a small team of data scientists of various levels (from associate to senior).
Establish and scale the design of MoonPay’s data science platform.
Decide on what priorities require the most attention; help set goals and metrics in order to influence product and operational decisions.
Work closely with business partners and articulate their data science needs.
Work cross functionally with other teams to streamline processes towards successful deliverables.
Work closely with talent and recruiting teams to grow and scale up the team.
Collaborate with the rest of the data team to improve our overall data ecosystem and enforce best practices across the team and department.
You should apply if you have the following ✅
5+ years of experience in a data science role within a fast-paced, agile and highly variable environment, preferably within the technology sector.
1+ years in a lead position, either as a technical or people lead.
Advanced SQL knowledge.
Advanced knowledge and experience in an object-oriented language, ideally Python, but others are considered.
Deep and broad understanding of statistics, especially as applied to experimentation and testing
Deep and broad understanding of model building, deployment and maintenance.
Be able to apply machine learning principles and techniques within the context of various business needs.
Demonstrated ability to convey clear narratives about complex data models and concepts to audiences with varying levels of technical knowledge.
Keen eye for operational and technical excellence.
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Senior Data Scientist | Ableto |
About AbleTo
Join our mission-driven organization, where your work matters and a diversity of ideas and backgrounds are welcomed. AbleTo is the leading provider of high quality, technology-enabled behavioral health care. We believe that everyone deserves access to high-quality care and offer a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with AbleTo highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Our outcomes-focused approach is proven to improve both behavioral and physical health and lower medical costs.
Overview
The Data Science team develops and deploys data driven models to 1) target appropriate members who would benefit from our behavioral health programs using claims data, 2) optimize provider network and call center workflows using operational data, and 3) build other data products to support business stakeholders. We are a team of multidisciplinary scholars making a meaningful impact on members' quality of life. We leverage cutting-edge technologies in feature engineering, machine learning, operations research, and MLOps. We have been playing a crucial role in the company's rapid growth, and will continue to support internal and external stakeholders to provide high quality, technology-enabled behavioral health care.
What You’ll Do:
As a Data Scientist at AbleTo, you will work in a uniquely cross-functional capacity, helping teams across the organization apply analytical rigor to their decision-making:
Design and implement model features using medical and pharmacy claims data, engagement data, and other data sources.
Build, maintain, monitor and improve numerical model pipelines in one or multiple areas of Data Science expertise, such as machine learning, linear programming, causal inference, MLOps, etc.
Collaboration: You will work with teams across the organization to design and build data-driven solutions, and add value to the company.
Who You Are:
Advanced degree (MSc or PhD) from a highly quantitative discipline, such as statistics, physics, computer science, electrical engineering, operations research, etc.
At least 3 years of professional/similar experience in relevant industries.
Solid knowledge of statistics. Previous experience in applying statistical concepts in business / policy / research settings.
High proficiency in Python / R, Linux and cloud computing.
High proficiency in machine learning using xgboost, scikit-learn, Spark MLlib, etc.
Highly skilled in data processing and analytics with SQL, Pandas (Python), PySpark, etc.
Hands-on experience in handling large-scale datasets, thoughtful feature engineering, and predictive model pipeline development and deployment.
Experience with production data science best practices.
Experience with healthcare data, psychology, or operations research is a plus
Good communication and presentation skills.
Experienced in collaboration of machine learning product development with other engineers and scientists.
Thrives in a team environment, and focuses on the success of the team and company.
Both technically and strategically savvy. Strives to work smarter, not harder.
Passionate about the advancement of technology and how it can improve our workflow.
Why You Should Join Our Team:
We’re proud to be a Great Place to Work-Certified™ company. We want you to show up and feel your best at work, and that means respecting your time outside of work. Our inclusive, flexible workspace prioritizes a work/life balance. We offer competitive salaries, comprehensive health benefits (for full-time employees), and professional perks such as 401K matching, fully funded HRA, and generous time off, including mental health days because your well-being is important to us.
At AbleTo, we’re empowering people to get better and stay better. Want to join us? Take the next step in your career by applying for this role today.
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Senior Data Scientist | Avantstay |
Who we are...
AvantStay delivers exceptional, unique stays for group travelers. The company has built a tech-enabled millennial hospitality brand to be the new standard for group experience. We are venture funded and growing rapidly in the explosive $100+ billion dollar STR industry.
What we are looking for...
AvantStay is looking for a Senior Data Scientist that will help enable data driven decision making on our Revenue Management and Finance teams. These efforts are key to enabling the optimizing of revenue and dynamic pricing practices, underwriting and other financial and analytical actions which are central to our continued success as we grow into new markets and increase the number of properties in our portfolio each month.
The position requires strong critical thinking and analytical skills to provide business intelligence through thoughtful problem solving, data collection, validation, analysis, modeling, forecasting, and visualization. The ideal candidate must be self driven to provide insights and recommendations in a fast-paced environment that values collaboration, integrity, and accountability. Strong communication and leadership skills to present findings, discuss challenges, mentor others, and provide recommendations are essential for success.
What you’ll do...
Apply disciplined analytics that predict consumer behavior at the micro-market levels and optimize product price and restrictions to maximize revenue and profit growth.
Develop and apply machine learning models to maximize revenue by ensuring a property is listed for the right price, in the right place, at the right time, and for the right customer.
Design and drive the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools.
Gather and analyze data to solve and address highly complex business problems.
Evaluate scenarios to make predictions on future outcomes and provide prescriptive solutions that support decision making.
Explore and understand data and build advanced analytical models, then present and discuss the resulting models to any level of audience.
Be proactive in identifying new opportunities to capture, or risks to mitigate, improving existing reporting and models.
Support special studies and analyses for unique business problems and scenarios.
What you will bring...
Bachelor's in Math, Statistics, Computer Science, Engineering, or another quantitative field. An M.S. or Ph.D. is a plus.
Must have at least 3+ years of actual working experience performing advanced quantitative analyses.
Advanced hands-on working knowledge of Python, SQL, and Tableau required.
Working knowledge of revenue management, pricing strategy, or competitive intelligence is a plus.
Expertise in time series modeling, linear regression, advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice.
Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis.
Experience using advanced optimization methodologies such as linear and mixed integer optimization as well as simulation modeling methodologies and techniques.
Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).
Must have experience with relational databases and building dashboards.
A strong passion for empirical research and for answering hard questions with data.
Perks & Benefits
Salary: $105K-$130K
Benefits and Unlimited Paid Time Off
Team bonding and off-site events
Complimentary and discount stays at AvantStay properties
When you join AvantStay… You’ll be doing work that matters alongside an experienced and dynamic team, transforming the way people travel and vacation. Your place within the colossal travel and real estate industries will leave you with a wealth of opportunities to feel both challenged to innovate and rewarded for your efforts. Of course, we will offer you pay and benefits, but we’re about more than that. AvantStay is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at AvantStay.
Equal Employment Opportunity...We're proud to be an equal opportunity employer- and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.
AvantStay, Inc. is a proud member of PledgeLA, an organization that believes that Los Angeles will become the most diverse and civically-engaged tech hub in the nation. Our members, tech companies and VC firms or accelerators based in Los Angeles, commit to increasing their level of community engagement and improving diversity, equity, and inclusion within their organization and investments.
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Senior Nlp Data Scientist | Paper |
Paper is looking for a Senior Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning, and information retrieval.
In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. You will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:
Design, develop, evaluate and deploy ML / NLP techniques.
Mine and analyze data from the company databases to create standardized datasets.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data collection techniques.
Use predictive modeling to improve service delivery, customer experience, and other business outcomes.
Develop custom data models and algorithms.
Coordinate with different functional teams to implement models and monitor outcomes.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Qualifications:
4+ years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn).
Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob).
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience with putting Machine Learning models into production.
Comprehensive knowledge of GCP cloud computing services.
Experience with visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Experience using other statistical computer languages (R, MatLab, etc.) to manipulate data and draw insights from large data sets is a plus.
Experience using graph learning is a plus.
Job perks:
Work with a dynamic team that provides support whenever you get stuck.
100% remote work.
Bi-annual company wide meetups.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
#LI-Remote #LI-HD01
|
Lead Data Scientist | Paper |
Paper is looking for a Lead Data Scientist to join the growing R&D and Data Science team. In this role, you will be responsible for managing technical aspects of data science projects to ensure the success of delivered solutions. You will spend a significant amount of time designing, planning, and executing technical solutions. You will work closely with our applied research scientists and engineers across the organization. You must be self-directed and comfortable providing guidance on applied research projects in Analytics and Machine Learning domains. You are eager to collaborate with a wide range of stakeholders and functional teams. The ideal candidate will have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:
Identify strategic technical objectives and lead data science technical roadmaps from ideation to implementation.
Improve the technical quality of the codebase via developing quality standards, leading training sessions, and enforcing code review processes.
Work with stakeholders throughout the organization to identify roadblocks and execute to unblock technical hurdles.
Mentor and coach data scientists on the team by providing direct feedback or comments in code reviews as well as leading pair sessions.
Lead rituals such as planning and retrospective meetings and backlog grooming to ensure consistent velocity.
Manage the team’s workload by controlling technical debt.
Collaborate with different functional teams and communicate technical and non-technical decisions.
Qualifications:
5-7 years of experience in data analytics and building statistical models, with a Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field.
+2 years of experience leading highly technical and analytical teams.
Proficiency in Python and Data science libraries including Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Pytorch, MatplotLib and Seaborn (R and Matlab is a plus).
Experience manipulating data and drawing insights from large data sets.
Solid knowledge of production infrastructure and pipelines for Data science solutions.
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience working with and creating data architectures.
Knowledge of GCP cloud services.
Experience visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
A drive to learn and master new technologies and techniques.
Excellent written and verbal communication skills for coordinating across teams.
Job perks:
Work with a dynamic team that provides support whenever you get stuck.
100% remote work.
Bi-annual company wide meetups.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
#LI-remote #LI-HD01
|
Decision Science Analyst Ii Machine Learning Remote Work Available | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst II for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or 100% Remote Work Environment.
Provide analytic and machine learning model support for business areas across the enterprise. Staff in this role 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 improve business outcomes. This role will also provide support for in-development and in-production machine learning models by wrangling data, helping to develop and execute monitoring plans, ensure model performance, and make adjustments and improvements to model structure as needed.
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, standards, and procedures for business activities.Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Supports identifying and gathering 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).Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
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 of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced 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.Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate 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:
Familiarity with basic machine learning techniques, such as linear and logistic regression, gradient boosted trees, and random forests.Exposure to machine learning validation and/or performance modeling, especially in a financial services setting.Ability to work closely and independently with IT and business partners.Exposure to manipulating non-structured data, such as natural language or images.
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: $60,300 - $108,600 *(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.
|
Decision Science Analyst Lead Marketing | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst Lead 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 (total 12yrs experience in lieu of degree)8 years of data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR advanced 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 and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).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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Decision Science Analyst Senior Pricing Modeling | Usaa |
Purpose of Job
USAA is looking for an experienced Decision Science Analyst Senior to help drive the future of Personal Lines Pricing Development. In this role, you will support the build, implementation and integration of impactful and scalable solutions to solve a variety of product and pricing problems across our P&C Personal Lines organization. You'll work alongside our Actuarial Modeling, Research, and Data Science teams from ideation to deployment, rapidly researching and testing new, innovative approaches to loss cost modeling, member segmentation and other big data problems. The ideal candidate will be highly technical (experienced with predictive modeling, machine learning, fluent in Python, etc.), an excellent problem solver and able to jump in and work with the teams to drive value in the personal auto and property domains.
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
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, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or 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 medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various 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.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)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).
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 of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced 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 and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced 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.Experience with 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.
Preferred Experience:
Highly skilled in Python with experience in object-oriented design and development.Solid experience with SQL and big data environments.Experience with data curation and/or model development in Cloud-based technology.Experience with 3rd party data solutions and providers.Highly skilled in application of predictive models and/or advanced analytics in insurance.
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: $97,200 – 175,000* (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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Decision Science Analyst I Adobe Analytics Remote Work Available | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst I for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or 100% Remote Work Environment.
We are seeking a talented candidate with digital measurement and analytics experience in the Banking industry who can drive improvements in digital measurability, analyze data for actionable insights, and promote findings across multiple business areas. The analyst selected for this position will get to work with a dynamic team of analysts, digital product managers, and developers. They will design measurement strategies and provide analytical decision support to solve business opportunities.
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, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and mid to upper-level 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.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
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 of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced 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 with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced 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:
Experience with Adobe Analytics and/or Glassbox.Strong expertise with digital / click-stream data and tagging.Strong understanding of Bank Digital Experience tag management and tag design for measurability.
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: $72,900 - $131,400 *(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 Senior Omnichannel | Usaa |
Purpose of Job
We are seeking a talented Data Scientist Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus or 100% Remote Work Environment.
This role is designated for a Data Scientist who has proficient knowledge with applying modern advanced analytics methods (predictive modeling, machine learning, and optimization), as well as a solid grasp of the mathematics used for each method and strong Python coding skills to develop numerical models. The Data Scientist is expected to demonstrate the ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees. The Data Scientist for this role is expected to have experience working with Natural Language Processing.
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.
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 define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.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.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on 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.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.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains 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.
6 years of related experience 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).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience 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.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:
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.Experience in the areas of Natural Language Processing (NLP), deep learning, or computer vision a plus.Proficient knowledge with applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Solid grasp of mathematics, with a strong foundation in calculus, linear algebra, probability, and statistics.Strong Python coding skills to develop numerical models.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: $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.
#FSB
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Senior Data Scientist | Ellevest |
Who We Are
Ellevest is a fast-growing, venture-backed financial services start-up built by women, for women. Our mission is to get more money in the hands of women, no matter where they’re starting or how far they’ve come. We started by building the only gender-aware online investing platform that takes totally un-ignorable realities (like pay gaps, different salary curves, and women’s longer lifespans) into account. Then we added banking, learning, and money and career coaching services for Ellevest members, plus a full-service private wealth management service that helps high net worth people, families, and institutions align their financial power with their values.
Ellevest was co-founded by Wall Street veteran Sallie Krawcheck after she realized that the financial services industry was built by men, for men, systemically leaving women behind. During her Wall Street days, she served as CEO of Smith Barney, CEO of Merrill Lynch Wealth Management, and CFO of Citi. Ellevest has raised over $90MM from investors including Rethink Impact, Pivotal Ventures, Valerie Jarrett, Salesforce Ventures, PayPal Ventures, MasterCard, Khosla Ventures, Morningstar, and Venus Williams.
Diversity, Equity & Inclusion
Ellevest is an equal opportunity employer and we value diversity at our company. Data shows that diverse teams are more innovative, make better decisions, and lead to greater employee engagement. When hiring, we look for culture add, not culture fit. That means hiring people who bring new perspectives and different experiences to our team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About This Position
We’re on a mission to get more money in the hands of more women+. We’re looking for a dedicated Senior Data Science and Analytics professional to join our team. You will work to provide the analysis and insights that can drive our decision making and strategic planning processes.
In this role, you will be responsible for collaborating with stakeholders to develop meaningful analytical solutions that help us make decisions and tell a great story. You will also have the opportunity to build and produce scalable models to acquire members, recommend products and next steps, identify customer segments, and boost membership, user engagement, and revenue.We’re growing quickly, and we’re looking for a passionate, experienced, and outcome-driven leader to develop and grow a team dedicated to enabling our organization with analytics and insights.
Day-to-day you will:
Develop the Data & Analytics strategy, capabilities and agenda with key stakeholders; establish a long-term roadmap for providing deep business intelligence.
Drive data-driven decisions and advance our data-focused culture. Proactively identify business opportunities and risks within the model to help the organization reach its goals.
Collaborate with cross-functional leaders to define the metrics & KPIs that drive results, enable our teams to leverage data to improve performance, and design experiments that provide insights
Work with stakeholders across the business to develop requirements and data models that support business initiatives.
Build data-based tools and models for continuous product performance monitoring and optimization
Build and develop machine learning models to make the product more dynamic
Research & implement new statistical or other mathematical methodologies as needed for specific models or analysis
Maintain high quality reporting /dashboards that present insights derived from data across the organization.
We’re looking for:
At least 6+ years of professional data analysis/business intelligence experience
Creative thinker on both a strategic and tactical level, with a strong bias to action.
Self-directed, ambitious, team player, and a strong communicator
Extensive background in data mining and statistical analysis; excellent pattern recognition and predictive modeling skills
Significant experience in manipulating data including use of SQL queries, API calls and ETL methods
A degree or professional experience in applied mathematics, statistics or computer science
Experience working with data visualization or business intelligence tools (Tableau, Chart.io, Metabase etc.)
Passion for our women-oriented mission
Working at Ellevest
Ellevest was founded in New York City, but today, our fully remote team is spread across the whole United States. As a member of the team, you can expect to do work that directly impacts our mission and the lives of real women every day.
We’re also dedicated to building a work environment where everyone on our team can grow and thrive, with flexible working hours and time off; remote work policies designed for transparency and effective cross-team collaboration; ongoing team building and professional development; and more.
Do you think you could thrive in this role?
Please send us your application — even if you don’t check every single box. No two people’s career paths look exactly alike, and skill sets come in many different forms. We can’t wait to hear about yours.
Note: Instead of a cover letter, we ask you to answer the questions at the bottom of this application.
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Senior Data Scientist Modeler Cyber Risk Analytics Can Remote Option | Guidewire |
Ready for a new challenge? Join Guidewire as a Senior Data Modeler!
Guidewire’s Cyence Risk Analytics products help the property & casualty (P&C) industry to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence Risk Analytics provides insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products.
Who We Are, What We Believe, & What We Build
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done.
Who You Are: Your responsibilities as a modeler will include:
Developing and implementing methodologies to quantify the impact of cyber security risk, as well as other emerging risks affecting the P&C industry
Exploring different data sources to come up with features and assumptions to enhance our set of risk models
Calibrating, testing and validating different types of models in the insurance space
Integrating modeling processes in our production pipeline to feed our platform
Communicating technical details related to the models and their outputs to individuals from various backgrounds
Working together with cyber analysts, data engineers, modelers, and product managers
What we are looking for:
Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics)
6+ years of solid statistics and predictive modeling foundations
Experience in data analysis, feature engineering, data visualization and hypotheses testing
Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
Experience in implementing parametric and non-parametric models in a production-level environment
High level proficiency in Python or R, and SQL
Good written and verbal communication skills
Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
A positive attitude, and a growth mindset
Bonus:
Insurance, actuarial modeling or financial modeling experience
General understanding of computer network and cybersecurity
Experience with Cloud infrastructure (e.g. AWS), and open source data processing frameworks (e.g. Hadoop, Spark, Mongo and Cassandra)
#LI-Remote
#datascientist #python @artificialintelligence #model #statistics #quantativeanalysis #mathematics #predictiveanalytics #modeling #actuarial #financial #supplychain
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.
Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Data Scientist Applied Research Content Modeling | 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 1.5M subscribers in nearly every country worldwide.
We’re defining the workforce of the future with Scribd Flex, a program that embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.
Remote employees must have their primary residence in: Arizona, California, Colorado, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), and British Columbia (Canada).
*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
Applied Research: Content Modeling is a team of data scientists who extract quantitative understanding from the complex unstructured data in our growing corpus of varied multi-modal content. We are a world class AI/ML organization whose mission is to break new ground in how our customers discover content.
We are skilled in employing a diversity of methods from metadata extraction, natural language processing, computer vision, and classification. We build the rich semantic connections between our content and our users. We strive to know our users better than they know themselves, enabling us to transform personalized discovery experiences.
We are a full-stack data science team that runs exploratory analyses, sizes business impact, develops models, creates data pipelines, taking projects from research prototype to production system serving product surfaces. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, slides and podcasts.
You will:
• Use SQL to query tables and build training datasets
• Build machine learning models in Python (with some work in Spark)
• Leverage state-of-the-art models using deep learning frameworks such as PyTorch and Tensorflow
• Work with Senior Data Scientists to operationalize data science projects
• Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups
• Investigate innovative methods of solving our most challenging problems at Scribd.
You Have:
• 1-2 years of experience deploying machine learning models (natural language processing experience preferred) Beginner level or greater experience with SQL and possibly Spark
• Intermediate to advanced knowledge with Python
• Intermediate level in at least one of these fields: natural language processing, deep learning, computer vision, and bayesian or frequentist statistics
• A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.
• Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine
Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Insurance Coverage: Scribd pays for employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
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. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
#LI-Remote
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Senior Data Scientist Product Analytics | Oscar |
Hi, we're Oscar. We’re hiring a Senior Data Scientist, Product Analytics to join our Data team in our New York office.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
In this role, you’ll provide key data science and analytical partnership to product leadership.
You will report into the Associate Director, Data Science. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
Build models that mine patterns from our product usage logs
Quantify the complex relationships between our product engagement and interaction with the broader healthcare system
Develop data driven recommendations to inform our product roadmap
Design source of truth datasets for analytics and business use cases throughout the company
Define, implement, and monitor key performance metrics for product teams
Requirements:
You have 6+ years of relevant work experience or a Master’s degree in a quantitative field with 4+ years of experience
You use data science tools like SQL and Python
You’re excited about being a decision-maker and a leader
You are able to navigate between high level strategic thinking and granular methods of problem solving
You know when to look outside the data to solve problems
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
COVID-19 vaccine requirements for in-person work:
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at [email protected] to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.
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Data Scientist | Oscar |
Hi, we're Oscar. We’re hiring Data Scientists to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
We are looking for several new Data team members to join us in a few of our workstreams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Senior Data Scientist or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team ([email protected]) to make the need for an accommodation known.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
COVID-19 vaccine requirements for in-person work:
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at [email protected] to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.
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Data Scientist 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 facetime, 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:
The Credit Models & Data team is new at Wealthsimple and we want to build a team of exceptional data professionals with diverse educational backgrounds. The team is responsible for delivering predictive analytics to support data-driven management of credit risk. These products will help support a new suite of retail lending products at Wealthsimple. The team is staffed with seasoned lending experts and supported by product managers, MLOps engineers, credit strategy experts, and data engineers. This team is a great place to learn about credit risk machine learning and a great place to see your models deliver a big impact to the business.
About the role:
As a Data Scientist on the Credit Models & Data team, you will play a pivotal role in quantifying risk and credit worthiness of clients. You should have strong programming skills in Python and SQL, extensive experience in machine learning and product data science, confidence articulating your results, and preferably domain knowledge in retail lending. You will work closely with the Product, Operations, and Finance teams, as a member of this highly cross-functional team consisting of full stack developers, product managers, and analysts to find new opportunities to manage and control risk. Your work will be foundational in Wealthsimple’s goal to be the primary financial service provider to millions of Canadians.
Some projects include:
- Building and deploying real-time machine learning models for credit risk prediction across products
- Developing frameworks to optimize various credit offerings
- Understanding product financials and resilience to economic factors
- Defining processes to rapidly update models with new innovative data sources
- Experimental design for product optimization and data collection
In this role, you will have the opportunity to:
- Use data to make better decision, take ownership and ship it
- Release incrementally and iteratively
- Get the best out of the team by leveraging their diverse educational backgrounds
- Teach and learn from their teammates. We value making others successful
Skills we are looking for:
- Strong programming skills:
Python and SQL
- Data manipulation, feature engineering, model tuning and validation, familiarity with consumer financial data
- Strong understanding of statistics: distributions, experimental design, information, metrics, etc.
- Strong understanding of common machine-learning algorithms: boosting, regression, decision trees, clustering, and neural networks
- First hand experience working with popular ML libraries for 5+ years
- The curiosity to explore data and the tenacity to get it right
- Excellent communicator who is able to tailor a narrative to their audience
Nice to have:
- MLOps experience in AWS, experience in credit risk (adjudication, AIRB) or market risk (VaR, ES), experience in graph data science (e.g. graph databases / GNNs), Transfer Learning, Reinforcement Learning, Apache Airflow, Kafka, Spark, Flink
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Senior Data Scientist | Healthsherpa |
About us
We help people find, enroll in, and use ACA (a.k.a. Obamacare) health coverage. We've helped over 9 million people enroll, saving over $30 billion through government subsidies in the process. We've doubled enrollments and revenue each year for the past 3 years, and we are now the largest ACA enrollment platform afterHealthCare.gov. We're profitable and on track to make mid-eight figure revenue for 2021.
We're a mission-driven team that advocates for and cares about the people we serve. We are a double bottom-line company - revenues and enrollments in ACA coverage. The ACA brings high-quality, comprehensive, and affordable health coverage within reach for low-income Americans. And we exist to make that promise a reality. Your contribution will positively affect millions of people, helping them to navigate the complex and confusing health insurance industry and to access health care when they need it.
We are committed to building a team balanced in representation to best serve the people who use our products. We believe in creating inclusive and equitable spaces, which build trust and respect and foster a sense of belonging. These values are at the core of our culture, and we genuinely believe they will continue to lead our organization to successful outcomes.
About the role
We are looking for a Data Scientist to join our team to use our unique data set to improve the product, increase revenue, and set strategy. You will have substantial autonomy in determining how you achieve these goals, and you will also set our data science roadmap. You will report directly to the CTO and your work will contribute directly to increasing the number of people that can access healthcare affordably.
You Will:
Analyze data to identify product improvements and revenue opportunitiesEstablish product and business health metricsDesign, deploy and analyze experimentsBuild machine learning models for multiple applicationsWork with engineers to improve data infrastructure
You Have:
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering, or relevant work experience5 or more years of industry experience in a data science or analytics roleProficiency in SQLProficiency in Python, R or another data science and visualization environment
What we offer
Great compensation package that includes meaningful equity in a high growth, profitable companyHealth, vision and dental coverage for you, your spouse and dependents401K after grace periodEmployee assistance programParental leavePaid Vacation and holidaysMonthly grocery stipendHome office budget for remote team membersOffices in San Francisco and Sacramento with catered lunch for working on-siteCommuter benefit
We're building a diverse and inclusive work environment where we learn from each other. We welcome and encourage people of diverse backgrounds, experiences, identities, abilities and perspectives to apply. We are an equal opportunity employer and a fun place to work. Come join the team at HealthSherpa.
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Sr Manager Data Science Analytics | Quizlet |
About Quizlet:
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.
With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.
About the Team:
The Data Science & Analytics team at Quizlet is at the forefront of product and marketing research. We leverage our rich data set of hundreds of millions of daily study interactions to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product and marketing strategy. We serve in a pivotal strategic role, identifying as well as driving inquiry using experimentation, causal inference, product analytics, and statistical modeling. The team is supported by Machine Learning and Data Engineering teams that partner with us to make sure we are building a data-informed decision making culture.
About the Role:
As a data science and analytics leader, you will own all of the Growth, Product, Marketing, and International analytics teams. You will partner closely with senior leaders and executives to drive alignment, strategy, and prioritization of data research, insights, and tests that uplevel our understanding of our users and product engagement.
In this role, you will:
Lead a large scope of the analytics space and drive high performance of a growing team of analysts and data scientists across multiple functions, locations, and seniority levels
Mentor and grow junior managers
Set strategy and roadmap for your teams in strong partnership with Product, Marketing, and International team leaders, which include VP and C-level executives
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation
Develop a deep understanding of our users and our product across dozens of countries to influence data-informed decision making culture
Build scalable processes and foster communication and collaboration within the teams and with other teams
Drive maturity and excellence in the way we measure the success of our business and foster an innovative culture
What you bring to the table:
8+ years of experience in data science and/or analytics
4+ years direct manager experience
Proficient in SQL
Practical knowledge of running A/B tests for growth and marketing teams
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Experience with ETL processes and best practices
Compensation, Benefits & Perks:
Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $171,000 - $236,000, depending on location and experience, as well as company stock options
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
Employees are eligible to participate in the Quizlet stock option program
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives a comprehensive view of who we are!
In Closing:
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.
We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.
We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
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Data Scientist Field Ops Customer Health | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Role:
The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data analyst to make an immediate and meaningful impact within a hyper growth start-up.
We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Business Development. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
What You Will Do:
Partner with Customer Solution Group Leadership, Strategy & Ops business partners to drive the long-term roadmap of customer health initiatives
Transform the business problems with proper context into mathematical problems
Develop and deploy customer health model to surface what drives customer health and provide recommendation in driving expansion
Help drive the transformation to consumption model by enabling the field teams with consumption metrics, actionable alerts,etc.
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What You Will Bring:
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
1+ years of experience in data science and analytics. Excellent data manipulation skills, proficiency in SQL.
Proficiency in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You An Edge:
3+ years of experience in data science and analytics
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.
#LI-CM2
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Senior Data Scientist | Whatnot |
🚀 Whatnot
Whatnot (YC W20) is a livestream shopping platform and marketplace backed by Andreessen Horowitz and Y Combinator. We’re one of YC’s top companies and one of the fastest growing marketplaces ever. We’re laser focused on creating an exceptional software company, team, and place to work. You can read our principles [here].
Our mission: enable anyone to turn their passion into a business and bring people together through commerce. We’re building the future of ecommerce; an interactive community where creators can make a living off their passion.
Did we mention we’re high growth? We’ve 10x’d the company in 6 months! In January, Whatnot was 10 people. Today, our team is approaching 100 and will exceed 120 by year end. We’re hiring forward thinking problem solvers across all functional areas. We recruit thoughtfully, can move fast, and are scaling fully remotely.
Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.
📈 Opportunity Size
The ecommerce experience has been static for 20+ years and is perhaps the largest opportunity in the startup space today. Livestream shopping is a $170B GMV market in China and has grown 100% YoY. Retail is a $5T market opportunity!
👋 About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from data engineering and product analytics to machine learning and service deployments.
In addition to 4+ years of experience in the Data Analytics field, you should have:
Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational databases such as PostgreSQL, DynamoDB
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R is a plus
Aptitude and experience in applied statistics and machine learning techniques
Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
💻 Role
Partner closely across the business to find improvements and influence decisions using data science methodologies and tools
Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
Define and advance best practices within an experiment driven culture
Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
🎁 Benefits
Competitive base salary and stock options
Unlimited Vacation Policy and No Meeting Holidays
Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability
Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
Dental and Vision sponsored 100% by Whatnot for employees and dependents
Work From Home Support
Laptop provided by Whatnot and home office setup allowance
$450 work-from-anywhere quarterly allowance for cell phone, internet, or co-working space
Up to $500 monthly to spend within Whatnot App
Care benefits
$1,350 quarterly allowance on food
$1,500 quarterly allowance for wellness
Paid Parental Leave
$20,000 for family planning, such as adoption or fertility expenses
During the COVID-19 Pandemic, Whatnot provides a $20,000 annual allowance towards Nannies, Daycare, and Caregiving support
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Data Science Manager | Social Current |
The Data Science Manager, reporting to the Senior Director Client-Facing Applications and Data Insights, is responsible for enabling the strategic vision of data services for Social Current and managing the day-to-day operations of the Data Insights team. The ideal candidate is data-driven, analytical, a problem solver, and has a keen desire to leverage performance measurement to improve business operations.
The Data Science Manager leads the design, development, and implementation of critical data-driven service and product initiatives, champions the employment of data across the organization, and contributes data insights to aid in strategic decision-making. They provide leadership in the design of data warehousing, analytics, and reporting, as well as user-centered design and user experience. The role calls for an innovative individual with strong data management aptitude, ability to communicate and work effectively in a cross-functional environment, and desire to continuously learn and improve methodology and design.
Essential Duties and Responsibilities
Champion the exploration and application of data in support of Social Current’s culture, mission, and values.
Lead the work and strategy of the Data Insights team to support the full spectrum of reporting and analytics requirements in keeping with Social Current’s growth.
Direct the efforts of the Research Specialist, establish performance goals, and monitor the timely delivery of project commitments.
Deliver on institutional priorities – including data benchmarking, quality assurance, performance measurement, and analytics initiatives.
Investigate and interpret enterprise information needs, anticipate opportunities, and provide expertise and tailored actionable insights to answer critical business questions based on a strong understanding of business processes, drivers, and priorities.
Collaborate closely with stakeholders throughout the organization to cultivate alignment on strategy, goals, and objectives, and help teams to make data-driven decisions.
Lead the benchmarking initiative, including design, implementation, technical design, user experience, customer support, evaluation, and presentation.
Conduct research and analysis projects and prepare reports, white papers, and other materials.
Generate and present absorbing information visuals, presentations, and documents for consumption by non-technical audiences; speaks succinctly about interpretation and recommendations.
Recommend improvements to data structure and data quality, develop Social Current’s Data Governance Policies, implement professional guidelines and procedures, and share best practices across Social Current.
Monitor uniform data collection compliance and quality across the organization.
Design and deliver data self-service capabilities for internal and external stakeholders.
Serve as primary point of contact for data and research requests.
Education and Experience
Master’s degree required; concentrations in behavioral or social sciences preferred.
5+ years overall experience in data reporting and analytics, required; 1-2 years field specific knowledge, preferred.
3+ years of demonstrated experience in relational database systems and other technologies required; experience with Salesforce CRM administration preferred.
Skills, Knowledge, and Abilities
Knowledge of and experience with the social service field.
Ability to translate complex data into clear, data-driven stories, and actionable insights.
Excellent written and verbal business communication and presentation skills.
Strong analytical background with a proven track record demonstrating an aptitude to compile data in comprehensive. reports, analyze trends and make fact-based recommendations.
Excellent project management, analytical, and problem-solving skills.
Ability to work autonomously, multitask multiple projects with competing deadlines, prioritize effectively and meet target deadlines.
High standards for quality of all work products. High attention to detail and integrity for data quality.
Commitment to lead initiatives across a diverse, geographically dispersed, multicultural environment.
Exceptional command of Microsoft Excel required (Pivot Tables, charts, and advanced formulas like index/match and array formulas); high level of proficiency in all Microsoft Office applications preferred.
Experience with Business Intelligence (BI) tools (i.e., Power BI, Tableau, etc.).
Knowledge of up-to-date data visualization best practices and tools.
Knowledge of statistical reporting tools (e.g., SPSS, R), preferred.
Travel Expectations
Travel is not expected.
Salary and Benefits
This position will offer an annual salary based on standard work hours of 35 hours per week. The salary range for this position is $90,000 to $100,000. Social Current offers a generous paid time off plan (PTO); medical, dental, vision, and life insurance benefits; and a 401(k) retirement plan.
How to Apply for this Position
Send a resume and cover letter to Social Current via email, and note the title of the position in the email subject line. No phone calls please.
Social Current is an equal opportunity employer. All applicants for employment to this position represented by this job posting will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
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Data Scientist | Blue Rose Research |
Blue Rose Research is a project with OpenLabs to develop a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research undergirds short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.
The R&D team within Blue Rose Research has a storied history, and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by the team is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of decorated engineers, PhD data scientists and political insiders who are closely connected to some of the most important decision makers in the progressive ecosystem.
We are looking for a data scientist to help develop applied statistical models and own end-to-end pipelines that will enable us to deliver daily insights and guidance to key clients this election cycle. This role requires full-stack data science skills, and will closely collaborate with our interdisciplinary team to scope technical needs, contribute new functionality to our machine learning framework, wrangle messy data and write ETL, train and iterate on models, and own modeling output that will be delivered to client-facing stakeholders.
We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data science, a strong attention to detail, and a desire to make a big impact — sometimes under tight timelines.
We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. While the work is remote most of the team is NYC based, and as COVID wanes that will likely be a center of gravity for our team.
You will:
Help build out a suite of end-to-end modeling pipelines to produce high-quality estimates of public opinion and voter behavior at a rapid cadence. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs.
Conduct modeling experiments, do feature engineering, and contribute new ideas to improve our core data science approach. Our problems are not well suited to plug and play machine learning solutions and we often have to think creatively about the right ways to evaluate model performance.
Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.
Build subject matter context and think critically about what the data is saying to understand what’s a real trend versus what’s a potential bug.
Our ideal candidate likely:
Has 2+ years of professional data science and/or machine learning experience
Has significant experience with applied statistics and predictive modeling. Has developed strong instincts about how to select the right modeling approach for a problem, tune models, evaluate model performance, and diagnose and debug modeling issues. Hands-on experience with Bayesian methods is a plus but not required.
Has experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data. Experience working with political data specifically is helpful, but not required.
Has experience building and owning production-level modeling pipelines using real-world data.
Is a strong Python programmer, or has significant experience in R and a willingness to learn Python. Experience with Tensorflow or similar tools like PyTorch (or a desire to learn) is a plus but not required.
Can pull out insights from data and build a story around them, and create effective visualizations to communicate those findings (in matplotlib, ggplot, or similar).
Thrives in multi-disciplinary teams working with engineers, statisticians and political experts. Is excited about working with less technical stakeholders and seeing how their work impacts real-world decision making.
Willingness to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight.
Has strong oral and written communication skills, especially in a remote environment
Is a kind person and a team player who contributes to a warm working environment
We don’t expect every applicant to have expertise in every area listed above. We encourage you to apply if you don’t feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team’s ability to learn and excel at new skills and challenges. Join us!
The salary range for this position is $130,000 - $170,000 annually, commensurate with experience.
Candidates must be authorized to work lawfully in the United States.
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Senior Data Scientist | Brigit |
Hi, we're Brigit! A holistic financial health company helping every American build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. We're backed by leading VC's including Lightspeed Venture Partners and DCM, a number of the world's most influential social impact investors like Flourish and Sound, and several mission driven celebrity investors like Kevin Durant and Will Smith! If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
As a Data Scientist at Brigit, you’ll be given ownership of building and improving the most important models which focus on:
• Assessing the credit risk of our customers so that we can increase our approval rates and provide access to more customers
• Helping us predict LTV of customers, so we can tune our marketing efforts and increase our acquisition
• Classifying customers who are likely to churn so that we can offer them better services and focus our efforts on them
We’ve got extremely rich data that we're able to use to build complex customer models based on their behavior and millions of customers to work with giving us the ability to quickly test and learn.
You’ll also work closely with our Product and Engineering teams and other business teams to support other analytics use cases as we build out and grow our team.
What You Have
A Bachelor's degree or above, preferably in a STEM field, but others will be considered with relevant experience5+ years of demonstrated ability of data science (modeling & analysis) in a startup environmentProficient in python, using industry standard modeling toolkits like sklearn, statsmodels, and a fluid understanding of SQL Experience leading teams or mentoring junior data scientists is preferredA wide understanding of consumer businesses and their profitability driversYou have built classification and prediction models, tested, and has iterated to improve them
What You'll Be Doing
Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risksYou’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decisioning process, getting to realize every bit of impact along the wayBuild, test and roll out other customer related models (such as Churn propensity and LTV prediction) models which help us analyze and optimize our marketing and retention effortsAnalyze how our customer base is shifting as we grow and pinpoint areas we can improveHelp our existing engineering and business teams track their goals, supporting the BI function from time to time with ad-hoc data analytics
Our Benefits & Team
-Help hard working Americans build a brighter financial future
-High-growth company at an early stage
-Equity participation
-A dynamic, flexible and collaborative start-up work environment with a highly talented team
-Minimum 3 weeks PTO
-401k Plan
-Paid Parental Leave
-Monthly reimbursements to use against wifi and cell phone bills
At Brigit, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
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Data Scientist | Antenna |
We're looking for an inquisitive and analytical Data Scientist to join our highly skilled team. You will have the opportunity to advance our most important initiatives because of your detailed diligence in writing and managing models, designing new models, and proactively collaborating with the Product team.
You will report to our Director of Data Science. Antenna is remote-empathetic and welcomes applicants from anywhere in the United States.
What You’ll Do
Make our data the most accurate in the business – assess the viability of new data sources, experiment with different approaches, and combine methods to ensure this happens.
Develop and maintain custom data models and algorithms to apply to data sets, including predictive modeling and demographic projections.
Build out our coverage universe so that we can provide accurate information on every subscription business within our purview.
Support research and development in large scale data mining and information retrieval in online media consumption behavior.
Who You Are
You love data – and enjoy pushing the boundaries and having a keen eye for what insights can be gleaned from it
You have 3-5 years of work experience in validating, processing, and analyzing data
You have hands-on experience with exploratory data analysis, statistical data analysis such as linear models, multivariate analysis, time series analysis, as well as machine learning techniques
You have a proven track record of turning state-of-art research into production-ready products
Proficient coding skills (SQL/Python/R) and database knowledge
Experience working with a cloud based platform to ingest, transform, schedule and deploy data models
You can explain how models and systems work to both non-technical and technical stakeholders
Demonstrated ability to work independently with partners in other parts of the company
Passionate about process improvement and diligent when creating measurement solutions
Bonus: Have an understanding of applied statistics and market research (qualitative, quantitative, behavioral, experimental) research methodologies
Bonus: Can flourish in dynamic and often-changing environments; results-driven with an ability to effectively multi-task
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Senior Acquisition Data Scientist | Drizly |
Who we are
Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.
We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.
Do you see yourself here? Read on.
Who you are
You have a second nature level of comfort with SQL, Python, Git, and local / cloud based development environments (e.g. JupyterLabs, Databricks or equivalent). You have comprehensive experience in developing and implementing machine learning models in production systems. You have utilized time-boxed experimentation to optimize data science products to improve business value.
You are driven towards DS innovation, have an affinity to be forward-thinking, and have crafted DS products not only for the immediate needs but aligned to where Acquisition Marketing is heading in the near future and tied to company goals. You approach problems without pretense, and when presented with a challenge, pick the right tool for the job; introducing new methods when vital but also recognizing when a classical or off-the-shelf solution will suffice.
You have an unwavering aim to learn the intricacies of the Acquisition Marketing teams mission, data exhaust, strategy, and company OKRs. You are flexible in execution; agile value generation comes through multiple iterations of a core DS product. You have worked with the teams to align each DS product opportunity with organizational OKRs, and build consensus with how value crafted from DS will be tracked and jointly communicated to the broader organization.
What the role is
This role is open because we have substantial goals for how Drizly engages with its customer base going forward, the average Drizly customer is more valuable than ever, and the value of a 1% improvement to existing processes is larger than it’s ever been. The Acquisition Marketing roadmap requires additional data science resources, as well as DS specific asks.
The role will be responsible for developing, prioritizing, and executing on the top opportunities identified in the Acquisition Marketing DS roadmap and collaborating with our broader Marketing, Analytics, and DS organizations. Data science opportunities that are implemented by this person will touch all aspects of the Drizly New Customer Acquisition Flywheel; from becoming more than just an ecommerce/delivery platform for our customers - to driving technology innovation for Acquisition Marketing, to partnering with our engineering and data science partners, to craft predictive models to facilitate budgetary, attribution, and optimization decisions. We need to invest in the analytic firepower and bandwidth to support these teams, and more generally, the Drizly customer.
In this role you will:
Develop data science products roadmap across the Acquisition Marketing Team
Refine, prioritize, and execute DS opportunities in a collaborative manner
Iterate and ship DS product versions in an experimental
Aim to rapidly adapt and improve the products
Collaboratively coordinate and report value creation from DS products with the Acquisition Marketing Team
The Other Stuff:
Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks
You do you.
Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
For Colorado-based roles: The salary/hourly rate range for this role is $123,000 per year - $146,000 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.
BEFORE YOU APPLY...
We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.
Identifying information includes your name, photos, LinkedIn URL, email address and more.
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Data Science Manager Marketing Analytics | Drizly |
Who we are
Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.
We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.
Do you see yourself here? Read on.
Who you are
You have led teams previously that have supported multiple groups across an organization. You are comfortable working and directing multiple stakeholders and a diverse set of business processes. You are an experienced player-coach and have developed talent through pair programming and mentorship in the past. You have worked through ambiguity and defined future state processes with data science functionally integrated into business units and marketing decision making.
You have a second nature level of comfort with SQL, Python, Git, and local / cloud based development environments (e.g. JupyterLabs, Databricks or equivalent). You have comprehensive experience in developing and implementing machine learning models in production systems. You have utilized time-boxed experimentation to optimize data science products to improve business value. You are driven towards DS innovation, have an affinity to be forward-thinking, and have crafted DS products not only for the immediate needs but aligned to where your business is heading in the near future, tied to company goals. You approach problems without pretense, and when presented with a challenge, pick the right tool for the job; introducing new methods when vital but also recognizing when a classical or off-the-shelf solution will suffice.
What the role is
This role is open because we have substantial goals for how Drizly engages with its customer base going forward, the average Drizly customer is more valuable than ever, and the value of a 1% improvement to existing processes is larger than it’s ever been - Data Science Products are instrumental to our Marketing and Strategic Partnerships roadmaps. We need to invest in the analytic firepower and bandwidth to support Marketers at Drizly, and more generally, the Drizly customer. The role will be responsible for leading our Marketing and Strategic Partnerships Data Science team, prioritizing, and executing on the top opportunities identified in the Marketing and SP DS roadmap and collaborating with our broader Marketing, Analytics, and DS organizations. Data science opportunities and frameworks that are implemented by this team will touch all aspects of the Drizly New Customer Acquisition Flywheel; from becoming more than just a ecommerce/delivery platform to for our customers - to driving technology innovation for Marketing and Strategic Partnerships, to partnering with our engineering and data science partners, increasing our usage of recommendation and classification systems, crafting predictive models to facilitate budgetary, attribution, and optimization decisions.
In this role you will:
Building and executing a data science product portfolio that supports our Marketing and Strategic Partnerships teams
Supporting and enabling team members to execute on prioritized opportunities
Being a thought leader and technical expert on time series and optimization modeling techniques
Being a change agent within the Marketing and Strategic Partnerships teams for best-in-class business processes functionally integrated with analytics!
Experience owning and managing forecasting, optimization problems built using machine learning and linear / mix-integer programming
Experience with statistical methods such as Synthetic Control Method or Design of Experiments
Experience using MMM, MTA, Regression and Timeseries Forecasting to determine the value driven by different marketing efforts
The Other Stuff:
Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks
You do you.
Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
For Colorado-based roles: The salary/hourly rate range for this role is $137,141 per year - $161,342 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.
BEFORE YOU APPLY...
We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.
Identifying information includes your name, photos, LinkedIn URL, email address and more.
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Data Scientist | Citizen |
About Citizen
Citizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. Citizen provides 911 alerts so people can use their phones to keep themselves, and the people and places they love, safe. Citizen has notified people to evacuate burning buildings, deterred school buses from nearby terrorist attacks, and led to the rescue of kidnapped children and missing people.
Citizen’s 911 alerts are accompanied by live stories, real-time updates, and user-generated content so app users never have to wonder why there are helicopters overhead or fire engines passing by. By broadcasting from the scene of an incident, communicating with one another, and reading live updates, communities are empowered by Citizen. We act fast, break news, and give people the immediate information they need to stay safe. And we’re just getting started.
Already relied on by millions of people every day, Citizen will expand even further across the United States this year to keep more users safe and informed. We’re looking for hardworking, mission-driven individuals to help bring Citizen to hundreds of cities nationwide.
Citizen is backed by Sequoia Capital, 8VC, Founders Fund, Goodwater Capital, and Greycroft and has raised $100M+ in VC funding.
Our Challenges
Scaling: We have one of the fastest-growing organic user bases in NYC, and have expanded to more than 30 cities across the U.S.. We are focused on the nationwide launch and the need to support that scale. A Citizen international launch will follow.
Analytics and Experimentation: every component of our product and business is continually measured and optimized through our modern data stack. Ours are some of the most interesting and impactful analytical problems in the world: lives are on the line!
Machine learning: We process thousands of hours of audio every day looking for incidents that impact our users’ safety, and have delivered billions of hyper-local notifications. To do this at scale, we’ve built ML models for audio analysis and targeting using the current state of the art from academia.
Our Stack - languages and technologies we use and teach
Data Analysis: SQL + Python/R via Periscope and Google Colaboratory
Data Infrastructure: DBT, Google BigQuery, Segment, Stitch
Mobile: Swift (iOS), Kotlin (Android)
Web: React.js, TypeScript
Services: Go for transactional systems; Python for analytical systems
Datastores: Cassandra, MySQL, Redis, Google PubSub
Infrastructure: Kubernetes on Google Cloud
Role Description
Our core challenges come from intersecting our growing internal datasets on user behavior and those on real time crime, fire, and medical incidents
Lead product analysis and experimentation to govern development direction
Deliver big-picture, cross-team insights to drive company strategy
Contribute to data team infrastructure and best practices to increase velocity
Requirements
Bachelor’s Degree in Computer Science, Math, Statistics, or related field
3+ years of experience in data science or analytics
Proficiency in programming/scripting and experience with statistical packages like R, Python/Pandas, etc
Strong knowledge of relational databases and ability to write SQL code at an expert level
Natural intuition for consumer products and businesses based on them
Aptitude with numbers, intellectual curiosity about metrics and measuring impact
Enjoyment of learning and teaching
Citizen offers a competitive benefits package including medical, dental, vision, flexible spending accounts, paid time off, company holidays, stock option plan, commuter benefits, and various wellness perks.
Citizen is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
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Senior Data Scientist Machine Learning Ecosystems Servers | Discord |
You will:
Apply state-of-the-art machine learning techniques to provide a deeper understanding of product, users, and communities
Build predictive models, apply causal inference techniques, and design and analyze experiments to support high impact company initiatives
Be a champion of experimentation and help groups throughout the company design, analyze, and interpret experiments correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
Ideate, communicate ,and partner directly with product, engineering, and business teams to improve decision-making and drive impact
You have:
Deep technical expertise in machine learning fundamentals, applied machine learning, and statistical modeling
4+ years of experience applying machine learning and statistical knowledge to solve ambiguous business problems
3+ years of experience writing excellent Python or R
Experience with technical leadership, being the point person for one or more stakeholder groups
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
Proficiency in SQL
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus points (you don't need all of these to apply!):
Experience in the design and analysis of A/B tests in a fast-paced environment at scale
Passion for Discord or online communities
Experience with social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV modeling, user segmentation, etc
Experience using a BI visualization tool like Tableau or Looker to surface model results, monitor performance, etc
#buildbelonging #LI-GB1
Benefits and Perks - Eligible to Fulltime Employees
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we’re all remote)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Senior Data Scientist Experience | Spotify |
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.
We are looking for a Senior Data Scientist to join our Experience insights team. To help us drive and support evidence-based design and product decisions throughout Spotify's product development process.
As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.
What you’ll do
Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.
Communicate insights and recommendations to stakeholders across Spotify.
Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers.
Who you are
Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
Strong interpersonal skills and are comfortable working with multiple stakeholders.
Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
You enjoy sharpening questions and developing hypothesis for yourself and can think together with others while clarifying their assumptions and hypothesis.
Proficiency with Python, or similar programming languages.
Experience with Google BigQuery or proficiency in SQL.
Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
A/B testing methodologies.
Where you’ll be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
#remote
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Data Scientist Experience | Spotify |
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.
We are looking for Data Scientists to join our Experience product area and help drive research and data initiatives.
As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.
What you’ll do
Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.
Communicate insights and recommendations to stakeholders across Spotify.
Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers.
Who you are
Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
Strong interpersonal skills and are comfortable working with multiple stakeholders.
Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
Proficiency with Python, or similar programming languages.
Experience with Google BigQuery or proficiency in SQL.
Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
A/B testing methodologies.
Where you’ll be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
#remote
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
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Data Science Consultant | Capgemini |
The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.
The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.
Role & Responsibilities:
Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
Analyze and model both structured and unstructured data to generate value
Use industry expertise and data science experience to uncover new opportunities with clients’ data
Qualifications
2-4 years industry experience, with work in a quant or data scientist field preferred
Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
Excellent team-oriented and interpersonal skills, with a strong interest for consulting
Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners
Strong understanding and application of statistical methods and skills: distributions, variance and correlation analysis, A/B testing, and regression
Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, Clustering, Linear Regression
Solid coding skills in at least one language, preferably Python or R
Experience with common data science packages (python: scikit-learn, matplotlib, pandas, numpy…// R: CARET, xgboost, gbm, ggplot, plotly, dply) or platforms (Azure AutoML, SageMaker, H2O.ai)
Experience working with databases (SQL, Hive, MongoDB)
Preferred Qualifications
Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras
Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
Knowledge of other coding languages such as Java, Matlab, SAS, C++
Experience with NLP, sentiment analysis, topic modelling
Graph Theory and Graph databases (Neo4j)
Experience Skilled with building and deploying predictive models and experience building
Additional requirements
Skills and experience with building data pipelines with SQL and ideally AWS tools such as Glue, Athena and Kinesis
Skills with Python
Some experience in building data pipelines, which source data from high-volume application and infrastructure event logs (as well as DB connectivity), would be a plus- sources such as Splunk or
New Relic would be a big plus
Some experience in data analysis
Good understanding of data models
Some exposure to analytics/ML/AI/AIOps and experience working as a data engineer in support of data scientists would be a plus
Experience as a Data Engineer on an AIOPs project would be a plus
We Offer
Full medical, dental, vision, dental plans AND life insurance (they begin day one!)
Seven company-paid holidays + 2 personal days (determined by when you begin)
401(K) that you can participate in day one – fully vested after 12 months!
Ten sick days per year for your own illness or for family needs
Long- and short-term disability
Employee Assistance programs and Employee Assistance Programs
Maternity & Paternity Leave
Adoption Assistance
Education Expense Reimbursement
Commuter Benefits
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Data Science Senior Consultant | Capgemini |
The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.
The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career
Role & Responsibilities:
Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
Analyze and model both structured and unstructured data to generate value
Use industry expertise and data science experience to uncover new opportunities with clients’ data
Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
Design and build scalable machine learning models to meet the needs of given client engagement
Assist with the mentorship and development of consultants
Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts
Qualifications
5-8 years professional work experience as a data scientist or on advanced analytics/statistics projects
Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
Excellent team-oriented and interpersonal skills, with a strong interest for consulting
Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners
Preferred Qualifications
Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases
Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)
Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
Knowledge of other coding languages such as Java, Matlab, SAS, C++
Experience with building and deploying predictive and prescriptive analytics models
Additional requirements
Strong leadership skills and good communicator
Comprehensive knowledge of AWS architecture, tools, principles and integration methods- ESPECIALLY in data engineering, data lake and data pipeline space
Experienced in designing and building data pipelines, which source data from high-volume application and infrastructure event logs
Experience in sourcing data from SPLUNK and/or New Relic would be a big plus
Knowledge and experience with designing and building high volume data pipelines for data lakes and data warehouses in AWS cloud using tools such as: pure SQL, Python, Glue, Athena and Kinesis
Knowledge and experience with AWS persistent data storage tools such as S3, RDS and Redshift
Experienced in optimally connecting data pipelines to high-volume event log sources as well as DB connectivity- sources such as Splunk or New Relic would be a big plus
Experienced in data analysis
Experienced in defining data models
Background in mentoring Jr Data Engineer(s) to complete specific tasks on time
Some exposure to analytics/ML/AI/AIOps and experience working as a data engineer in support of data scientists would be a plus
Experience as a Data Engineer on an AIOPs project would be a plus
We Offer
Full medical, dental, vision, dental plans AND life insurance (they begin day one!)
Seven company-paid holidays + 2 personal days (determined by when you begin)
401(K) that you can participate in day one – fully vested after 12 months!
Ten sick days per year for your own illness or for family needs
Long- and short-term disability
Employee Assistance programs and Employee Assistance Programs
Maternity & Paternity Leave
Adoption Assistance
Education Expense Reimbursement
Commuter Benefits
Flexible Spending Accounts, Adoption Assistance
Perks at Work
Back up Child and Adult/Elder Care
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Data Scientist | Limeade |
About us:
Limeade is an employee experience software company that helps build great places to work. Our platform unifies employee well-being, engagement, and inclusion solutions with industry-leading communications capabilities. Recognized for its own award-winning culture, Limeade helps every employee know their company cares. To learn more, visit www.limeade.com.
We're committed to creating a mission-driven, positive and inclusive culture of improvement made up of the best and brightest people in the business. And we've got the awards to back it up: Puget Sound Business Journal ranked us #1 Best Workplace in Washington, and Seattle Business ranked us one of the top three Best Companies to Work for in Washington State. In addition, we're one of the fastest-growing companies in North America (Deloitte's Technology Fast 500™), and Fortune magazine recognized us as a Best Workplace for Women. Limeade is a global company that embraces a distributed workforce and has users in more than 100 countries. Our headquarters are in Bellevue, WA.
About the role:
Limeade is seeking a Data Scientist I for a small but mighty Personalization team. In this role, you contribute to taking Limeade through its ML-first future, where best-in-industry algorithms are deployed throughout the platform to personalize the experience for all their users.
Responsibilities:
Building and implementing Machine Learning models utilizing Databricks in the Azure cloud
Researching and implementing MLOps best practices to enhance the Personalization team’s machine learning lifecycle process
Performing statistical analysis to validate models
Communicating findings and recommendations to the business
Requirements:
Ability to demonstrate our values in an on-going and consistent way
Bachelor’s degree in relevant field & min. 2 years exp.; or advanced degree w/out exp.; or equivalent work exp.
Strong programming skills in Python and SQL
Excellent understanding of machine learning techniques
Experience with big data platforms
Knowledge of statistics and experiment design (e.g. A/B testing, causal inference)
Ability to communicate complex technical work to a non-technical audience
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
Please Note: Limeade is currently unable to support visa sponsorship for those living in the United States and working under an H1B visa.
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Data Scientist Ii | Goguardian |
At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.
While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.
As a Data Scientist II at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.
What You'll Do
Collaborate across teams to implement data science and machine learning solutions to optimize GoGuardian’s internal operations and SaaS products
Communicate methods and findings with stakeholders through written reports, presentations, dashboards, and APIs
Build machine learning models and deploying them as production services at scale
Extract and transform data in a reliable, repeatable manner
Empirically explore novel data sets to separate signal from noise
Build tooling to support efforts such as unit testing, automated deployment testing, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)
Who You Are
Advanced education (PhD or Master’s) in a quantitative field (science, math, statistics, engineering, etc.) with professional work experience as a Data Scientist
Experience applying data science solutions to deliver impactful results
An outstanding ability to communicate complex findings to stakeholders outside of Data Science in a clear and simple manner with excellent written and oral communication skills
Advanced skills in python
Proven self-learner with the drive and talent to learn very quickly
Experience with git and cloud computing (AWS, GCP, or Azure)
Plenty of experience with traditional statistics and ML approaches
Experience extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects
Bonus if you have: Experience with Docker. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)
What We Offer
A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech
GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.
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Data Scientist I | Goguardian |
At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.
While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.
As a Data Scientist I at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.
What You'll Do
Collaborate across teams to implement data science and machine learning solutions into our SaaS products
Continuously grow your skill set through project-based learning and collaboration with a talented DS team
Communicate methods and findings with stakeholders in written reports, presentations, and dashboards
Build machine learning models and learn to deploy them as production services at scale
Collaborate with talented data engineers to extract and transform data in a reliable, repeatable manner
Empirically exploring novel data sets to separate signal from noise
Contribute to technical improvements such as automated deployment, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)
Who You Are
PhD or MS in a quantitative field (science, math, statistics, engineering, etc.)
Experience applying data science solutions to deliver impactful results in a job or internship
Excited about communicating complex findings in a clear and simple manner with excellent written and oral communication skills
Proven self-learner with the drive and talent to learn very quickly
Proficiency in python
Experience with git and cloud computing (AWS, GCP, or Azure)
Familiarity with traditional statistics and ML approaches
Familiarity with extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects
Bonus if you have: Demonstrated ability for self-directed learning and improvement. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)
What We Offer
A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech
GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.
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Senior Data Scientist | Cars Com |
About the Role
Data Science is the driver for our future at CARS. The team aims to build explainable algorithmic systems that help us solve business problems, create new opportunities and democratize intelligence for everyone while ensuring data ethics as the highest priority.
We are looking for a data scientist who has a passion for applying statistical methods in solving business problems. This individual will work with Data Scientists/Engineers, Product Managers & Designers, Analytics and Industry researchers, and will be responsible for building creative solutions that the auto-industry is facing today and the ones that aren't even discovered yet.
As we look to engage consumers in their car-shopping journey, we aspire to learn consumer behavior and its effect on the auto industry in general. To that end, the candidate will build econometric and machine learning models for causal inference and prediction and apply economic theory to solve business problems.
An ideal candidate should have business acumen, technical skills in quant and programming, and should be able to communicate effectively to a diverse audience.
What will you do?
Develop state-of-the-art methodologies for research problems that have high business impact, including areas of statistical and causal inference, econometrics, etc.
Work to help shape how CARS approaches issues related to pricing, measurement of Ad effectiveness and incrementality etc.
Collaborate with market research, communications and product teams on data visualization methods and use it to explain trends in auto industry
Design ML models to predict user behaviors and implement experiments to measure their impact on key product outcomes
Experience in deploying models to production and/or experimentation
Mentor fellow data scientists and folks across the company, who needs mentorship in leadership and technical skills
Basic Qualifications:
Advanced degree in Economics, Statistics or related field
Expertise with at least one programming language in either R or Python and SQL
Ability to do data analysis, reporting & visualization (Tableau, D3, etc.) at scale
Deep expertise in
applied forecasting models (econometric time series models, tree-based methods, etc.)
building interpretable models
Effective verbal and written communications skills
What you will love about the job?
We optimize for a healthy team not only for a highly performing team. In this role you’ll interact with a diverse group of folks from Product, Software Engineering, Data and Business teams.
All CARS employees are encouraged to bring their whole, authentic self to work every day, including their talents, passions, and unique ideas.
You’ll be working with some of the brightest minds of the industry.
Double bonus if you like talking about cars. We do too.
This job posting is inclusive of multiple levels within our Data Science Team. Based on your background, expertise and interests, we will assess and consider you for a senior, staff or principal level role.
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Senior Data Scientist Resilience Modeling | One Concern |
About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.
The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Senior Data Scientist, Resilience Modeling to join our team.
What you will do
Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new approaches and data sources.
Identify key problems in prediction models and propose innovative solutions.
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights
Must-haves
Ph. D. (preferred) with 2+ years or MS + 5 years industry experience in civil engineering, operation research, atmospheric sciences, statistics, mathematics, or related field.
Background in statistics, probability theory, machine learning and/or quantitative analytics
Domain knowledge and experience of natural disasters and/or risk modeling
Experience in risk model developments (machine-learning models or statistical models)
Proficient in Python
Good to have
Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Publication record
Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Science Intern | One Concern |
About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.
The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Data Science Intern to join our team. In this role, you’ll work with our data science team to build global-scale resilience models. This is a full-time internship for a period of two to three months with the possibility of converting to full-time employment.
What You’ll Do
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights.
Assess the potential usefulness and validity of new approaches and data sources.
Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models.
Work with and support domain experts and data scientists in different hazard products.
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans.
Qualifications & Experience
Pursuing Ph. D. or M.S. in civil engineering, computer science, operation research, atmospheric sciences, statistics, mathematics, or related field.
Background in statistics, probability theory, machine learning and quantitative analytics (coursework or experiences)
Domain knowledge of natural disasters and/or risk modeling
Proficiency in Python
Nice to Haves
Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Publication record
Compensation will be competitive with market for this position. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist Credit Risk Lending | Koho |
About KOHO
KOHO is a quickly scaling FinTech company backed by leading investors and advisors from around the world. We started KOHO because we believe in doing two things:
Democratizing access to the best financial products and giving everyone a great financial foundation.
Since our journey began 6 years ago, we’ve raised more than $340M, grown the KOHO Collective to over 200 employees, and created accounts for more than 400,000 Canadians.
About the Role
We're building a world-class financial product and we need someone to help take our data operations to the next level. Our team is growing fast, and we’re looking for a Data Scientist to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs. You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.
What You'll Do
Design and develop statistical models for credit risk parameters (PD, EAD, and LGD) for lending products
Assist with model deployment and monitoring, as well as re-training or updating when necessary
Coordinate and maintain communication with business stakeholders on data science-related projects
Create dashboards or conducting ad-hoc analysis to answer pertinent or urgent data-related questions
Document results, insights and methodology on a project by project basis
What You'll Bring
3+ years of experience working with data and engineering teams
Experience with retail lending products
Experience with predictive credit risk modelling
Ability to get hands on: modelling, analysis, cleansing, documenting
Expert knowledge of Python and SQL
Strong communication skills both written and oral
Exposure to measuring business outcomes of machine learning models in production is highly valued
Experience with cloud-based platforms such as AWS or GCP
Passionate about applying data science in financial services, with ideas on how and where to improve customer’s financial lives
Experience deploying models in a production environment, and integrating them into SaaS infrastructure
Joining the (lovely!) KOHO Team
We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:
• Balance Your Life - Generous PTO, generous vacation, and a lifestyle spending account
• Work Anywhere - Permanently remote and $1,000 to set up your home office
• Level Up - Access to an in-house certified performance coach
• Reach Your Goals - Salary assessments twice a year, annual training allowance
• The KOHO Culture - We have won 6 "Great Place to Work ®" awards since 2019
The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact [email protected] and the People and Culture team will be happy to help.
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Senior Data Scientist Analytics | Newfront |
From the Lloyd’s of London coffee shop to the moon landing, every venture relies on insurance. The $1 trillion insurance industry is fundamental to our economy and society, but remains stuck in the stone age. Incumbents rely on antiquated pen-and-paper process and there's a huge opportunity to transform it through technology. At Newfront, we're building software to supercharge insurance brokers and help them deliver a delightful experience to clients.
While we’re a technology-driven company, we believe that people and trusted relationships matter. Newfront believes in empowering people rather than "disrupting" them. Our singular mission is to create the future of work for this massive industry.
We believe breakout growth creates breakout opportunities and diversity drives innovation.
As a senior data scientist - analytics, your goal is to help Newfront make data-driven product decisions. You will dive deep into how data is collected in our product and elsewhere and uncover insights from that data. You will have widespread purview over how product analytics is done at the company, which metrics we should create and monitor, how we should test our product features, and identify areas for improvement in the business that have the highest impact. The role reports to the Head of Data.
This position is open to remote candidates with Pacific Time Zone preferred. #LI-Remote
Job Responsibilities
Own analytics across our entire product portfolio, from data instrumentation to KPI definition to reporting.
Democratize how we use data in the tech team and beyond by empowering product decisions that are rooted in metrics that we are trying to drive.
Deliver insights to product, operations and other business partners and proactively suggest solutions to problems that they are facing.
Collaborate with engineering teams to craft data requirements and guide event instrumentation.
Build curated dashboards and reporting that serve as the primary source for how the product team and business view results.
Run queries to support ad-hoc product questions.
Help establish A/B testing frameworks.
Educate the company on how and why data-driven decision making can take us to the next level.
Work directly with and mentor a growing data team of data engineers, analytics engineers, analysts and data scientists.
Requirements
4+ years of relevant work experience in a data scientist, product analyst role, or related.
Strong communication skills and ability to collaborate cross-functionally.
Curiosity and enthusiasm for digging deep into messy data and extracting deep, impactful insights from it.
A clear passion for staying up-to-date with and learning new analytics skills independently and continuously.
Exceptional skill in structuring analyses, dashboard design and data visualizations to communicate meaningful metrics within the business.
Ability to independently prioritize and focus on the questions that matter most to the business.
Strong SQL and Python skills.
Current Tech Stack
BigQuery
dbt
Airflow
Fivetran
Tableau
Newfront is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Newfront provides reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
NOTE: The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
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Data Scientist | Nielsen |
Company Description
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Description
Develops data models to meet the needs of the organization's decision-making process. Manages the flow of information between departments through the use of relational databases. Maintains data integrity by working to eliminate redundancy.
RESPONSIBILITIES
Enable better decisions using the dataHelp solve client challenges (e.g. performance mgmt., product or methodology evolution POC)Translate Clients’ requirements to actionable solutions or productsIdentify new business opportunities within our clients
A LITTLE BIT ABOUT YOU
You’ve dabbled in data. You’ve perused Python. And you have the communication chops to experience solving complex clients. While you’ve worked with global cross-functional teams, you can develop data models to meet the needs of the organization's decision-making process. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next.
Qualifications
Bachelors or Masters degree in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadershipExperience in quantitative analysis is preferred, and a strong educational background in engineering, statistical or technical fieldKnowledge in modeling techniques and methodologies: Linear regression, Time series Regression, K mean, Neural Networks, Decision trees, Classification, Machine Learning, Deep Learning, etc.Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. Develop creative scientific approaches to solve for client’s business questions that are currently not addressed with standard information available. Push the boundaries of a wealth of data to draw impactful insights to our clientsProficient in Python, R, SQL or other statistical packages.Ability to communicate effectively with clientsDemonstrates experience in statistical techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs.Strong project management and communication skillsAbility to present and explain methodological and operational solutions to clients and executive leadership
Additional Information
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
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Data Scientist Computer Vision | Thorn |
(Will also consider senior level candidates with computer vision experience.)
Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can operate well in a complex and quickly changing environment and are able to talk specifically about heavy issues while bringing positivity to your work and colleagues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. A key aspect of our work is keeping abreast of the new ways technology is used to sexually exploit and abuse children and building the right technology in response to combat this, as well as building technology to support the broader child safety ecosystem in combating online child sexual abuse.
About the role:
As a Data Scientist, you build machine learning models to add intelligence to your team's product. You will uncover valuable insights, to expand and build on our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and build models that will make an invaluable impact. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment.
What You'll Do:
Research and develop statistical modeling for data analysis.
Build machine learning models to help end online child sexual abuse.
Provide business analysis to help streamline workflows.
Collaborate with team members to drive understanding of product and technology standards needs and devise possible solutions.
Discuss results and ideas with key partners, including child victim identification specialists, relevant law enforcement, and technology companies.
Implement new statistical methodologies as needed for specific models or analysis, prioritizing fairness in design and build.
Work with Data Science and Engineering team members on deploying insights and models and continuous model training and deployment.
Keep up-to-date with the newest developments in data science and machine learning.
What We’re Seeking:
A commitment to putting the children we serve at the center of everything you do.
You have experience designing, building, and deploying computer vision (traditional and deep learning) applications for production use cases.
You have a background in data science and statistical analysis.
You have an ability and interest in learning new technologies quickly.
You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering.
You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial.
Technologies we use:
You should have at least one year of professional experience with these:
Tensorflow or PyTorch
OpenCV (or equivalent image manipulation library)
You should have non-trivial experience with at least a few of these, but we’re open to teaching folks that have the desire and ability to learn the rest.
Pandas
Scikit Learn
Spacy, HuggingFace for NLP
Jupyter
At Thorn, we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team and encourage people from underrepresented backgrounds to apply. Your skills are needed here.
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Data Scientist Aws Talent Acquisition Data Analytics | Amazon |
View transcript
DESCRIPTION
Job summaryWe are looking for Data Science professionals to drive our analytical revolution in the AWS Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond. In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.The ideal candidate is an independent Data Scientist who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.Key job responsibilities· Collaborate with researchers, software developers, and business leaders to define business processes and provide analytical support· Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems· Build scalable, efficient, and automated data processes to facilitate customer-facing reporting· Automate TA processes to streamline business operations· Communicate verbally or in writing to business customers / leadership to sharing insights and recommendationsA day in the lifeAre you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply technical individual who enjoys working with customers to transform how a business operates? Are you a builder that excels with ambiguity?
BASIC QUALIFICATIONS
· Degree in Computer Science or related engineering field· Self-sufficient in data analysis· Fluent in SQL· 3+ years experience with Python scripting· Proven experience in with SQL and large data sets, data modeling, ETL development, and data warehouse, or similar skills· Experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/ Spark etc.· Experience operating very large data warehouses or data lakes.· Familiarity with BI Tools such as QuickSight, Tableau, and MicroStrategy· Understands data warehouse design· 7+ years of experience in the analytics or related field
PREFERRED QUALIFICATIONS
· Demonstrable expertise in dimensional modeling and Data Warehouse tuning· Experience with building data pipelines and applications to stream and process datasets at low latencies· Strong understanding of information security as applied to handling sensitive data· 7+ years of experience in the analytics or related field· 6+ years of python scripting· Meets/exceeds Amazon’s leadership principles requirements for this role· Meets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon 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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Senior Data Scientist | Woebot Health |
Full Time, Remote
Our mission is to make the best mental health tools radically accessible for everyone.
We are pioneers in building personalized digital mental health tools to help millions of people with mental health difficulties.
Our tools are powered by the latest research in NLP and ML, use scientifically proven techniques from Cognitive Behavior Therapy, and are based on 10 years of intervention science at Stanford University. Our founder has an international reputation in Digital Mental Health intervention development. Our Chairman is Andrew Ng; and Dan Jurafsky is a member of our advisory board, both globally recognized leaders in AI/NLP.
There has never been a better time to use your data science skills for good. Given the recent acceleration in infrastructure to allow for the meaningful adoption of digital therapeutics, our strong product reputation, and existing relationships within health systems, Woebot is in a period of explosive growth.
We are looking for product-minded Senior Data Scientists to use their expertise to enhance our understanding of the conversations Woebot has and deepen the intelligence, sophistication and personalization of those conversations.
What you will do:
As a member of the growing Data Science team, you will work cross-departmentally with clinical and engineering team members, notably with our Machine Learning Engineering team, to help translate your expertise into sophisticated conversation advances, impactful personalization features and intelligence in service of improved user experience and mental health outcomes.
NLP & Conversation AI
We are constantly looking to improve and evolve Woebot’s conversational capabilities while taking into account the current conversational context and the mental health journey of users.
Help build machine learning models that enable Woebot to more naturally converse with, and understand users through a variety of NLP, machine learning and deep learning approaches.
Model conversations and develop metrics and insights to help us understand shortcomings and opportunities for improvement.
Investigate the mediating effect of tunable conversational features such as tone, verbosity, humour and empathy in conversation performance
Personalization
We consider personalization to be key for developing a relationship over time, and delivering adaptive interventions to ensure Woebot thoughtfully delivers the right content, at the right time for every user.
Improve user profile metadata, both collected and inferred, to improve conversation capabilities and conversation parameterization.
Design & analyze experiments determining the most efficacious approaches in personalized content delivery for users within and across sessions
Collaborate with Product & Design teams to deliver datasets, models and heuristics to power personalization of existing and new features
Engagement Analytics
Through our consumer application and ongoing clinical studies, we are generating important datasets that allow us to investigate some of the most pressing questions in digital mental health around engagement, dose and treatment outcomes.
Perform exploratory analyses to generate actionable insights across our large scale datasets in both controlled studies, consumer usage datasets and a/b experiments.
Deepen the quality and depth of research conducted across Woebot by using data to help shape and guide our study pipeline and quantitative methodologies.
Required:
Ph.D. in quantitative field with extensive data analysis alongside 2-3 years in industry role and/or ML/AI experience OR 5-8+ years in relevant role
A strong background in one or more of the following areas: statistics, machine learning, natural language processing, large-scale data mining or artificial intelligence
Proficient in Python/R and SQL
Demonstrated ability to conduct reproducible analyses and develop written materials and data visualizations that deliver actionable insights
Excellent interpersonal and communication skills, both oral and written.
Preferred
Knowledge of one or more modern ML/NLP frameworks, such as PyTorch, Tensorflow, or Keras
Experience in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.
Previous experience working to develop Conversational AI & NLP models and/or delivering personalization solutions in mobile applications.
Proficiency in data visualization tools like Looker or Tableau
Our Core Values:
Empathic: You’re a compassionate person and a team player motivated to understand others and help them be successful, too. You care as deeply for your colleagues as you do for our mission and our users.
Self-aware: You possess a high level of emotional intelligence, which allows you to understand yourself and others, and to have a healthy emotional life in the workplace.
Proactive & flexible:You are able to hit the ground running, you take responsibility for finding a way to get the job done. You learn as quickly as possible and sometimes do things outside the immediate scope of your work, giving it all you’ve got.
Strong work-ethic: You’ve mastered healthy habits in your life that allow you to do great things. You exemplify dedication and commitment to coming up with very good results in your work and inspire others to do the same.
Growth mindset: You believe abilities – like intelligence and talent – can be developed through dedication and hard work. You see failure as an opportunity to grow and welcome feedback as a pathway to your continued success.
Humble: You recognize that you are one among many, and you hold a genuine desire to discover what other people can offer. You are intrigued by how others think, and how others feel differently from you. You lean into these moments with patience and curiosity.
Benefits
Competitive Salary
Stock Options
Flexible PTO
Health, Dental & Vision
Woebot is an equal opportunity employer and we deeply value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Head Of Data Science | Best Egg |
Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances. We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.
The company is a fast-growing fintech that has been recognized numerous times as a best workplace. If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.
Marlette celebrates diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.
At Marlette we believe everybody should have the opportunity to enjoy life. As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.
Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.
Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.
Role Highlights
Responsible for the data science function in the company supporting all business functions.
Lead innovation within the business by creating additional value through the utilization of data assets and analytics.
Set vision, educate and evangelize use cases of advanced analytics and data science application throughout the business.
Liaise with technology team to set vision, capabilities, infrastructure and roadmap of data science capabilities.
Liaise with data team to identify opportunities in new and/or alternative data sources.
Lead and nurture data science talents through role definition, recruitment and development of team members.
Create and facilitate collaborative environments with other business functions to ensure high synergies and alignments.
To be successful in this role
You should have a Master or PhD in quantitative fields, preferably Statistics, Economics or Data Science. Additional degree in business is a plus.
You should have a solid foundational understanding of the technical aspects of Data Science – good in statistics, machine-learning techniques, experimental designs and know how to obtain and use big data (structured and un-structured). Experience with adaptive models is a plus.
You should have deep understanding of the business dynamics; and proactively lead/conduct exploratory data analyses and experimental designs.
You should be proficient in writing your own SQL and Python including machine-learning libraries (panda, scikit-learn, matplotlib, etc.), R or SAS. Knowledge in Amazon Sagemaker is a plus.
You should have strong communication and influential skills necessary to ensure high synergy and alignment with other business functions.
You should be a team-builder, result-oriented and self-driven superstar with minimal supervision, as well as open-minded and strategic thinker.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Our Brand:
At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances. For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.
Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team. If you are interested in helping us, you can apply HERE
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Data Scientist Personal Loan | Best Egg |
Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances. We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.
The company is a fast-growing fintech that has been recognized numerous times as a best workplace. If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.
Marlette celebrates diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.
At Marlette we believe everybody should have the opportunity to enjoy life. As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.
Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.
Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.
Role Highlights
Partner with various business units to develop machine-learning models used in targeting / underwriting / pricing / fraud and verification strategies.
Collaborate with business stakeholders to identify risks and opportunities using data and machine-learning models.
Take ownership of a rich library of machine learning tools and enjoy authority to continue to research efficient and effective strategies.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and models.
Play with end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
From time to time, be involved in search of relevant big data and in assessing 3rd party vendor’s capabilities.
Enjoy a culture rich in learning and frequent small wins, our Data Science team is small and contributes insights to decisions made across the entire business.
To be successful in this role
You should have a Master or PhD in quantitative fields, preferably Math or Data Science.
You should have a solid foundational understanding of the technical aspects of Data Science – good in statistics, machine-learning techniques and know how to obtain and use big data (structured and un-structured). Experience with adaptive models is a plus.
Able to leverage SQL, Python including machine-learning libraries (panda, scikit-learn, matplotlib, etc.), R or SAS. Knowledge in Amazon Sagemaker is a plus
Able to communicate with business partners for modeling needs, sample design and planning.
Self-motivated and high creativity in problem solving; ability to present models to business stakeholders in an easy-to-understand format.
Freestyle thinker; Ability to work in a fast-paced and fast-changing environment.
Enjoy a culture rich in direct communication, no politics, continual learning where we celebrate success and have fun too.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Our Brand:
At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances. For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.
Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team. If you are interested in helping us, you can apply HERE
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Senior Data Scientist | Pagerduty |
Why We Need You:
We’re looking for a Senior Data Scientist and a proven leader passionate about building machine learning models with big data in production successfully. We expect you to collaborate with product, data-engineers and full-stack engineers to drive alignment on ML/AI-driven features at PagerDuty. If you are technical, creative, future-focused, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.
How You Contribute to Our Vision: Key Responsibilities
Build data driven solutions to solve business critical problems across multiple domains by developing statistical and machine learning methods on top of PagerDuty’s data infrastructure.
Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value
Influence leadership to drive more data-informed decisions
Communicate, align and drive interest within the entire organization to be more data driven
Provide guidance, technical leadership, and mentoring to other members of the team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
Minimum Requirements
Graduate degree in computer science, statistics, mathematics, or related quantitative field.
You have 5+ years using machine learning and statistical analysis for building data-driven product solutions for large scale systems at the production level.
Hands on experience in Python, SQL and other related tools. Python is a must; C++ Java are nice to have. Should be able develop ML features in Python for Deep Learning or Scala
Have an entrepreneurial mindset to drive research projects to completion with minimal guidance.
Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers and Product
Experience working with Engineering teams ensuring a timely delivery
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Senior Data Scientist Search Analytics | Reddit |
Reddit brings hundreds of millions of people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
We are looking for a Senior Data Scientist to lead our Data Science efforts in Reddit Search and to partner with our Search Relevance and UX teams to drive analysis, experimentation, and user understanding for Reddit Search. Generating billions of events and terabytes of data a day, we’re in the unique position to revolutionize content discovery on the internet. We are overhauling Reddit’s search and relevancy infrastructure, and we depend on data to make sure that we can trust our decisions and constantly improve the Reddit discovery experience.
As a Senior Data Scientist for Search you will join a small but growing team and will help us expand beyond the front page and better connect users to the specific content they care about. If you are curious, excited about measuring user success, and motivated by having an impact on a platform that creates community and belonging for its users: we want to hear from you. You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage people to find communities and content that they love.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Reddit has over 100,000 communities, and a true sense of community and belonging can only be achieved by ensuring we are able to connect the right people to the right communities within that network. Your work on Reddit Search will directly contribute to those efforts.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world that empowers NLP applications, IR applications, and social network analysis. This is an exciting opportunity to dig into the data behind the “front page of the internet.”
What You’ll Do:
Conduct exploratory analyses on understanding Search to help shape the work the team undertakes.
Identify the signals that can be best leveraged to connect users, through Search, to the communities and content that will inspire them to contribute posts or comments
Define, build and track success metrics for Search experience.
Develop tools to help analyze the movement of the metrics and help the team understand why their changes impact the metrics.
Continuously improve the metrics in terms of sensitivity, actionability, and fidelity to the user experience.
Ensure high-quality and trustworthy Search experiment results and ensure that experimental designs lead to action.
Define metric goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards.
Communicate findings and co-design strategy with the most senior leaders in our organization
Who You Might Be:
5+ years of experience in quantitative or data science roles, preferably for a consumer-facing service/app
2+ years of experience focused on a search product or feature
Able to design, interpret, and act on A/B experiments.
Familiar with statistical analysis and programming languages (e.g., R / Python)
Proficient with querying relational databases (e.g., SQL)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Able to communicate and discuss complex topics with technical and non-technical audiences
Able to tackle ambiguous and undefined problems
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Manager Assortment Data Science And Analytics | Nordstrom |
Job DescriptionThe Nordstrom Merchandising Data Science team uses statistical modeling and analysis to solve some of the most critical problems at Nordstrom from what products we offer, to how much we invest in inventory, to how we price our goods.We are looking for a leader of our Assortment Data Science and Analysis group. As the leader on this team, you will play a key role in developing analytical strategies and predictive models that improve our ability to offer the right products to customers at the right time, driving higher conversion, lower returns, and happier customers. You will also be responsible for the intelligence we share with the merchandisers, buyers, and planners to support their assortment decisions.The ideal candidate for this role will have a background leading highly productive teams and strong modeling and analytical skills.Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.In this role your leadership will drive:
Development of predictive models to inform product assortment choices
Building robust, end-to-end model pipelines and production APIs
Analyzing industry trends and customer style preferences
Working closely with engineering, product, and merchandising business teams
Gathering, analyzing, and presenting data to support various business initiatives using Tableau dashboards, applets, and written communication
Basic Qualifications:
Advanced degree in quantitative field and/or management program
3+ years of related analytical and modeling experience
1+ years of managerial experience with technical teams
Strong communication skills with both technical and business leaders. Ability to speak at a level appropriate for the audience
The ability to implement models and tools through the use of modeling languages (e.g. Python, R)
Hands-on experience with statistical analysis
Hands-on experience with machine learning and data-modeling
Understanding of the software development lifecycle
Preferred Qualifications:
Familiarity with fashion and/or trend related retail business operations
Experience working effectively with software engineering teams
Experience with agile project framework
Experience with version control software, such as Git
Familiarity with SQL and experience with large-scale data
The ability to manipulate and analyze data by writing scripts (in Python, R, etc)
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EBWe’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Nordstrom Careers Privacy Policy: https://careers.nordstrom.com/#/contact-us/privacy© 2021 Nordstrom, Inc. Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900
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Data Scientist Product | Clubhouse |
Clubhouse is a new type of social product based on voice. It allows people everywhere to talk, tell stories, develop ideas, deepen friendships, and meet interesting new people around the world.
Our early users love the product and we have grown very quickly since we launched in 2020. We take pride in being a small and productive team, with a relentless focus on our product and our community. As a company we are well funded, with backing from top-tier VCs and many of the best angel investors from Silicon Valley and beyond.
We are seeking to add extraordinary people to our growing team. If you think you would be a good fit, please let us know!
The Role
As a Product Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings.
In this role, you will report to our Head of Data Science. We are a remote friendly-company — with our headquarters in San Francisco, a second office in LA, and a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S.
Who you are
You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.
You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis. You have experience as a data scientist at a fast growing company and have a proven record of impact.
You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.
You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets, and are able to catch data issues as they arise.
You bias towards action. You like to build and ship - favoring practical choices, speed and a respect for sequencing. You focus on the things that matter and push back on things that don’t. You make deadlines for yourself and you move fast.
You’re scrappy and entrepreneurial. You thrive in fast-paced environments and are comfortable with not knowing the answer to something. You are willing to roll up your sleeves no matter what the challenge is.
You take pride in what you do. You care deeply about your work. You read through details and think about every bit of the user experience. If something seems off, you come up with a good solution and fix it without being asked to do so. You’re proactive with suggestions and people know they can count on you to get things done.
You enjoy your work. You love what you do, not because you feel you have to, but because you’re so excited to create something big for the world. Your favorite thing to do is to take on a huge challenge and pull it off.
You care about doing the right thing. You value diversity and go out of your way to ensure others feel welcome. You enjoy hanging out with your teammates, have a low-ego, and make the workplace more fun for everyone.
What you will do
In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that affect millions of people.
There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in new feature launches, ensuring that we understand the impact of policy changes on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.
You’ll grow and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, challenged by your teammates, and growing your skills on a daily basis.
You’ll shape the product strategy. You will get to use your own product (and talk with others while they are using it) every day, and have significant input into its development. Your ideas will always be heard. Your work will vary over time and will cover a variety of areas. On a given day, you may be launching a new way of ranking support tickets, analyzing trends in different types of user behavior, or finding ways to proactively identify content in violation of our policies.
You’ll be an owner. We believe in hiring people and giving them as much responsibility as they can handle.
You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together for deep and meaningful conversations, creates new relationships, builds empathy across cultures, entertains people, and helps people develop ideas that change the course of their lives.
As an early team member at Clubhouse you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you!
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Manager Data Science Modeling | Okcoin |
Who We Are
Okcoin is one of the world’s largest and fastest growing cryptocurrency exchanges. We help millions of people buy and sell bitcoin, and over 20 other crypto assets every day — but our work is a whole lot more than that. We’re building an inclusive future of finance, one that opens new opportunities to learn financial literacy, store value, and build wealth for everyone.
Ready to help the next billion people experience the future of finance with us? Come on board. We have offices in San Francisco, Malta, Hong Kong, Singapore, and Japan, but we believe in you working wherever you work best.
About the Team
The Risk function at OKCoin is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
About the Opportunity
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Manager, Data Science & Modeling will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing:
Researches and leverages state-of-the-art modeling techniques; lead modeling innovation, development and validation;
Develop Risk policies / strategies / rules to understand and mitigate fraud on the platform while enabling the business to grow;
Understand impact of risk policy on Okcoin’s ecosystem (trade-off between loss/risk mitigation and revenue growth / positive customer experience);
Promote a data-driven culture within the department with value-added data analysis and timely management of information;
Engage in storytelling via data analytics to connect the dots and visualize problems or pain points within the business; and
Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.
What We Look For In You:
3-5 years of experience in developing data-based analytical solutions;
Deep understanding of machine learning algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization;
Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.;
Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance.;
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.
Nice to Haves:
Crypto/Blockchain experience;
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
Master's degree preferred in statistics, math, computer science, engineering, economics, or related quantitative field.
Highlights of Perks and Benefits
Market competitive total compensation package
Comprehensive insurance package including medical, dental, vision, disability & life insurance (Company pays 100% for employee/80% for dependents)
401K with company contribution
Flexible PTO policy, company paid holidays, and flexible hours
UberEats Program
Paid Parental Leave
Employee Referral Bonus Program paid in BTC
Company Donation Match
More surprises when you join!
OKCoin Statement
OKCoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. 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 | Okcoin |
Who We Are
Okcoin is one of the world’s largest and fastest growing cryptocurrency exchanges. We help millions of people buy and sell bitcoin, and over 20 other crypto assets every day — but our work is a whole lot more than that. We’re building an inclusive future of finance, one that opens new opportunities to learn financial literacy, store value, and build wealth for everyone.
Ready to help the next billion people experience the future of finance with us? Come on board. We have offices in San Francisco, Malta, Hong Kong, Singapore, and Japan, but we believe in you working wherever you work best.
About the Team
The Risk function at OKCoin is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
About the Opportunity
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Data Scientist will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing:
Researches and leverages state-of-the-art modeling techniques; Participate in modeling innovation, development and validation;
Develop Risk policies / strategies / rules to understand and mitigate fraud on the platform while enabling the business to grow;
Understand impact of risk policy on Okcoin’s ecosystem (trade-off between loss/risk mitigation and revenue growth / positive customer experience);
Promote a data-driven culture within the department with value-added data analysis and timely management of information;
Engage in storytelling via data analytics to connect the dots and visualize problems or pain points within the business; and
Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.
What We Look For In You:
1-2 years of experience in developing data-based analytical solutions;
Deep understanding of machine learning algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization;
Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.;
Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance.
Experience in a fast-paced startup environment with a strong level of initiative;
Ability and willingness to travel as needed.
Nice to Haves:
Crypto/Blockchain experience;
Hands on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest,etc. )
Master's degree preferred in statistics, math, computer science, engineering, economics, or related quantitative field;
Highlights of Perks and Benefits
Market competitive total compensation package
Comprehensive insurance package including medical, dental, vision, disability & life insurance (Company pays 100% for employee/80% for dependents)
401K with company contribution
Flexible PTO policy, company paid holidays, and flexible hours
UberEats Program
Paid Parental Leave
Employee Referral Bonus Program paid in BTC
Company Donation Match
More surprises when you join!
OKCoin Statement
OKCoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. 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 | Udemy |
About this role We’re excited to say that this is a fully remote role with eligibility to work anywhere in the United States. While you will get together with your team on a semi-regular basis (monthly or quarterly, depending on the team), we want you to thrive wherever you work best!
As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.
As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.
Here Are Some Questions You Could Be Working On in UB Product:
How do we measure the causal relationship between administrator usage of Learning Insights and annual recurring revenue?
How do we effectively design and implement randomized controlled experiments in the enterprise context?
Here Is What You Will Be Doing:
Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
At least 2 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intuition and judgement
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones
We Are More Excited About You Because You Have:
5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
About Udemy
We believe anyone can build the life they imagine through online learning. Today, millions of students around the world are advancing their careers and passions by exploring and mastering new skills on Udemy, and expert instructors are able to share their knowledge with the world. Through our global marketplace and our solutions for businesses and governments, we connect people everywhere with the skills they need for success in work and life. We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious belief in the power of learning and teaching to change lives. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.
Founded in 2010, Udemy is publicly traded and headquartered in San Francisco’s SOMA neighborhood with offices in Denver (Colorado), Dublin (Ireland), Ankara (Turkey), Gurugram (India), and São Paulo (Brazil).
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
Udemy in the News
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken
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Solutions Data Scientist | Climate Ai |
About the Role
We’re looking for a smart, passionate, team-oriented Solutions Data Scientist to support our customers in translating climate forecasts into actionable insights that matter for their business.
This person’s primary focus will be serving as the bridge between our customers and the data science team: understanding the customers needs, translating them into technical specifications, and explaining model outputs in terms of business value. This individual will have direct operational responsibilities (e.g. conducting benchmarking analyses), customer relationship responsibilities, and a project oversight role. This position will report primarily to the Solutions team, and work closely with our data science and engineering teams to drive positive business outcomes for our customers. ClimateAi is a deep tech company, but our technology is only as valuable is the impact it has on our customers – as a Solutions Data Scientist, you will be responsible for delivering this impact.
Role Responsibilities:
Integrate ClimateAi’s forecasts into customers workflows and decision making
Analyse and understand customer data and ClimateAi insights
Translate customer needs into technical requirements
Collaborate with the data science team to deliver on those requirements via ClimateAi’s platform
Support the customer in interpreting those results and ensuring a direct link between our forecasts and their business objectives
Support business development efforts via demos, insightful analyses, and development of market-facing tools
Help build the Solutions function: define and drive processes that will enable us to scale
Grow with us: future opportunities to take on more responsibilities as our company and needs grow
Preferred Qualifications:
Domain expertise in Climate Science Meteorology, and/or Data Science, as indicated by a Master’s degree
Strong written and verbal communication skills, capable of clear communications to customers and data scientists alike
Strong project management skills: Ability to drive outcomes across teams, and in a timely fashion
Sufficient programming proficiency (Python) to execute analyses and thought partner with data science & product on new use cases and technical specifications
A good listener: able to hear and understand the customer need and the different perspectives of relevant stakeholders
Demonstrable experience in data visualization is a plus
Proficiency in Excel and Powerpoint is a plus
Most importantly, a passion for climate change solutions
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Climate Data Scientist | Climate Ai |
About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Climate Data Scientist to join our team.
The person will be conducting cutting-edge applied research at the intersection of climate and data science. This individual should be able to work remotely and independently, with an eye for detail. The position will require frequent communication with the software engineering, product and solutions teams, so an affinity for collaborative work is crucial. Expect to give and receive constructive criticism, as we are constantly re-evaluating our hypotheses and our products.
Role Responsibilities:
Conduct independent research at the intersection of weather/climate and data science
Research existing literature to identify best solutions for a given problem
Train machine learning algorithms and apply statistical techniques to weather and climate data sets
Collaborate with our software engineering, product and solutions teams to effectively develop products
Lead small team of junior data scientists
Preferred Qualifications:
MS or PhD in physical/environmental science, engineering, computer science or related
Independent research experience
Experience writing modern Python code
Experience with version control systems and Github
Desired but not required skills:
Experience with weather and climate data
Experience with modern machine learning algorithms and frameworks
Experience with customers
|
Data Science Intern | Climate Ai |
About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Data Science Intern to join our team.
ClimateAi internships are full-time over a time period of at least 3 months. Interns work directly with one of our senior data scientists on cutting-edge applied research projects at the intersection of climate and data science. Interns are fully integrated into our company, including team and company-wide meetings and social activities.
We provide internship opportunities at every level of study and throughout the entire year. Internships are paid. ClimateAi is a remote company operating in the NA timezone. We welcome interns from an EU timezone, provided they are available for some evening meetings.
Desired Skills and Experience:
Enrolled in physical/environmental science, engineering, computer science or related degree
Enthusiasm to solve climate change
Coding experience, preferably in Python
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Junior Data Scientist | Climate Ai |
About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Junior Data Scientist to join our team.
The person will be developing algorithms for our climate intelligence platform and producing data analyses for our customers. This individual should be able to work remotely and independently, with an eye for detail. The position will require frequent communication with the software engineering, product and solutions teams, so an affinity for collaborative work is crucial. Expect to give and receive constructive criticism, as we are constantly re-evaluating our hypotheses and our products.
Role Responsibilities:
Develop data science algorithms for climate analytics; work in collaboration with our software engineering team to integrate the algorithms into our product.
Produce data analyses requested by our team and our customers.
Help in machine learning-driven weather and climate forecasting research.
Produce visuals to share with customers; write documentation; explain work in easily understandable way.
Required Skills and Experience:
BS in physical/environmental science, engineering, computer science or related
Ability to write well documented and structured Python code
Basic understanding of statistics
Experience analyzing and visualizing datasets
Desired but not required Skills:
Experience with version control systems and Github
Experience with weather and climate data
Experience with customers
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Data Scientist | Thredup |
About thredUP:
thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.
How you will make an impact
At thredUP, our mission is to inspire a new generation to think secondhand first, and data is critical to our success. We are seeking a curious and creative data scientist to join our team to drive critical business decisions company-wide. You will be working with a highly interdisciplinary team of data scientists, software engineers, product managers, and marketers. This role will involve building and refining the algorithms that drive our growth, deriving insights from our wealth of customer and inventory data, and partnering with our business and product teams to evolve and grow the thredUP marketplace.
In This Role You'll Get To:
Implement end-to-end algorithmic solutions to drive marketing and product decisions Advance our retention efforts by providing customer-first insightsDesign, configure, and analyze experiments that drive business growthUncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findingsParticipate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level upImprove our data systems and tooling to continually increase our analysis efficiency and data access across the companyWork with other engineers and data scientists to design, code, and deploy data science and machine learning solutions across the product and business landscape
What We're Looking For:
3 or more years of demonstrated ability as part of a data science, product analytics, machine learning, or software development teamAbility to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborationsInnate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truthWell-rounded skill set in statistics, machine learning, software development, and project managementAdvanced knowledge of SQL and Python, and experience writing code in a collaborative environmentPrior experience working with marketplaces and/or a relevant background in economics or operations research is a plus
What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNEChange the World Finalist
We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.
Apply Now
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Data Science Manager Trust | Shopify |
About the role
We are looking for a Data Science Manager to join our Trust Data Science team. The mission of Trust is to make commerce secure for everyone and help Shopify become a globally trusted company and platform. As Shopify has grown rapidly over the last number of years, our Trust team has helped to create an environment that ensures 1) Our merchants can trust that Shopify has their best interests in mind and 2) Our merchants' customers can trust that the purchases they make are from reputable merchants. Our Trust Data Science team is responsible for applying both analytical and algorithmic solutions to help achieve this mission.
Working closely with an interdisciplinary team, you and your team will tackle challenging Trust-related problems like signifying the trustworthiness of a merchant, identifying security threats (both internal and external), and building a centralized repository for Trust signals at Shopify. We build strong data foundations, anomaly detection tools, and reporting frameworks to empower the Trust organization to make great decisions quickly.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
Experience in a data science role solving high impact business problems in the areas of Fraud, Risk, Trust or Cybersecurity
Direct experience building, leading and growing high performing data science teams
Experience working with privacy concerns around closed data
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Experience shipping productionized machine learning systems
Understanding of system design & architecture
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
Experience working as or with Data Engineers
All your information will be kept confidential according to EEO guidelines.
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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 Data Scientist Shop | Shopify |
About the role
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
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 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.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
It would be nice if you have:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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
|
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.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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
|
Data Science Manager | 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.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, 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.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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
|
Lead Data Scientist Europe | 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 data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.
Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.
Your responsibilities:
Gather context to solve ambiguous problems that leads to long term impact
Partner closely with product, engineering and other business leaders to influence decisions with data
Apply different analytics and data science methods to inform improvements to our business
Identify, design and implement end-to-end focal data pipelines that scale and allow data & product to move fast
Identify and build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Advance best practices within data science and product teams
Qualifications
You will need to have:
Deep technical experience that inspires individual contributors, creativity and innovation. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team,
Sound knowledge of applied statistics and quantitative modeling,
A track record of communicating to technical and non-technical audiences
Experience creating data product strategies, shipping data products and iterating after launch,
Experience working closely with various levels of business stakeholders, potentially all the way up to c-suite
Curiosity about multiple problem domains and analytical approaches,
Strong sense of ownership and a growth mindset
It would be nice to have:
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals.
Good experience with SQL
Understanding of dimensional modeling and building ETL pipelines
Familiarity with GCP and Spark
Familiarity with Tableau, QlikView, Mode, or similar data visualization tools
Experience contributing to productionized machine learning models at scale
Domain experience in e-commerce, marketing, SaaS or other relevant areas
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person and is looking forward to learning more about you and your interest in joining our team.
Interested, but not ready to apply?
Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/2021
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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
|
Lead Data Scientist Shop Europe | 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 data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools.
At Shop, Staff Data scientists use their expertise and drive to multiply the overall output of the data science team and deliver impactful solutions that power our Shop products. As a Staff Data scientist, you’ll help drive your team’s vision to its implementation. You will lead key initiatives that improve our understanding of customer behaviour, drive growth, and build data products that delight buyers and merchants. You’ll also be hands-on in our code and will contribute technically.
Your responsibilities:
Gather context to solve ambiguous problems that leads to long term impact
Partner closely with product, engineering and other business leaders to influence decisions with data
Apply different analytics and data science methods to inform improvements to our business
Identify, design and implement end-to-end focal data pipelines that scale and allow data & product to move fast
Identify and build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Advance best practices within data science and product teams
Qualifications
You will need to have:
Deep technical experience that inspires individual contributors, creativity and innovation. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team,
Sound knowledge of applied statistics and quantitative modelling
A track record of communicating to technical and non-technical audiences
Experience creating data product strategies, shipping data products and iterating after launch
Experience working closely with various levels of business stakeholders, potentially all the way up to c-suite
Curiosity about multiple problem domains and analytical approaches,
Strong sense of ownership and a growth mindset
It would be nice to have:
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals.
Good experience with SQL
Understanding of dimensional modelling and building ETL pipelines
Familiarity with GCP and Spark
Familiarity with Tableau, QlikView, Mode, or similar data visualization tools
Experience contributing to productionized machine learning models at scale
Domain experience in e-commerce, marketing, SaaS or other relevant areas
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
At Shop, 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 and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
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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Data Science Manager | Shopify |
About the role
Data Science & Engineering 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. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful. From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person and is looking forward to learning more about you and your interest in joining our team.
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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
|
Senior Data Scientist Shop Europe | 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 data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.
Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains.
Partner closely with product, engineering and other business leaders to influence product and program decisions with data.
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business.
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes.
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products.
Influence leadership to drive more data-informed decisions.
Define and advance best practices within data science and product teams.
Qualifications
You will need to have:
Extensive experience with Python and software engineering fundamentals.
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed).
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders.
Curiosity about the problem domain and an analytical approach.
Strong sense of ownership and growth mindset.
You should have one or more of:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Strong data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
It'd be great if you can speak, read and write in either German, French, Spanish or Italian.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person (👋🏻) and is looking forward to learning more about you and your interest in joining our team.
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 and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from people with disabilities, people from gender and sexually diverse communities, racialized people, and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments.Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.linkedin.com/groups/12447410/
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
|
Senior Data Scientist | Upstart |
The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles who build and enable our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.
The Role
As a Senior Data Scientist, you'll evaluate and monitor our models, their performance, and their effects on our customers. Additionally, you'll identify potential problems or opportunities for improvement, communicate these issues to the team, and suggest solutions. This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external parties such as partner banks.
Our Machine Learning team researches and productionizes all of Upstart’s core predictive models. If data is the new oil, then you’ll be responsible for the refining process that creates the most premium fuel possible. You’ll work in an environment where actionable insights from data are valued and needed, so you’ll be able to see your analysis turn into measurable results for our company and our borrowers.
Position Location - This role is available in the following locations: Columbus or Remote (#LI-REMOTE)
Time Zone Requirements - This team operates on either the East or West Coast time zones.
Travel Requirements - This team has regular on-site collaboration sessions six times annually split between the San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
What we’re looking for:
2+ years' in data science or related experience in a production setting
Knowledgeable in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression)
Experience with Python or R as well as SQL
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Ability to quickly piece together disparate pieces of information to form a broader picture
Ability to use data to detect bugs, surprises, and other important business issues
Determination to pursue a question until reaching a satisfactory conclusion
Experience with consumer data (especially consumer finance) is a plus
Data visualization skills preferred
Enthusiasm for and alignment with Upstart’s mission and values
MS or PhD in econometrics, applied statistics or related quantitative areas of study
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Senior Data Scientist | Wellthy |
At Wellthy, we dream of the day when taking care of the sick and the elderly becomes seamlessly human and tech powered. Wellthy is evolving the way we take care of each other by building a better healthcare experience for people with complex, chronic, and aging concerns.
In your data science role, you will collaborate with Service, Partnerships and other business units across the organization to ensure work is completed with insights from knowledgeable coworkers. The Sr. Data Scientist work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. You will report to the CTO, and partner closely with our COO and Product team.
Who we’re looking for:
You are mission driven; the Wellthy mission touches you at your core. You’re smart, hungry, and scrappy with advanced knowledge of data, modeling, optimization, and tools. You enjoy moving quickly and thinking on your feet, and generally being part of a fast-growing startup. You’ve had data science, healthcare informatics and reporting experience and can apply disciplined analytics to predict behavior and optimize predictive modeling to develop, test and validate cases that improve utilization and quality of the services we offer. You understand and can analyze complex data sets, and articulate to various units within the company at the appropriate level. You make decisions regarding your own work methods and require minimal direction. You have a spirit of generosity and thrive in a team because you enjoy helping and getting to know your colleagues. You find creative ways to organize, structure, and manage. Most importantly, you’re a doer and a believer.
Responsibilities:
Design and analyze product experiments, and communicate findings to key stakeholders to inform product recommendations
Build dashboards using data visualization tools to improve business operations
Provide subject matter expertise on analytics engineering architecture and best practices
Establish data science development methodologies and data governance
Perform ad hoc analysis for stakeholders across functional business units
Identify, analyze and interpret trends or patterns in complex data sets
Build and train a breadth of predictive models using supervised learning methods
Define data quality standards and implement appropriate profiling and testing methods to mitigate data errors
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Provide ongoing reports, interpret data, and analyze results using statistical techniques to help drive business decisions
Build and manage a team of data scientists
Required Qualifications:
Bachelor’s degree in research design and statistics; Master’s preferred
5+ years of experience in data science, healthcare informatics and/or data analytics
Experience building, testing and managing large-scale, end-to-end data integration / ETL systems for high-transaction products
Proficiency in SQL, Python, R, and other packages a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Excellent written and verbal communication skills
About Wellthy:
Wellthy is a healthcare concierge service. We use dedicated care coordinators and our seamless technology platform to project manage healthcare for families with sick and aging loved ones. Wellthy takes the pain out of healthcare – scheduling appointments, finding the right specialists, researching treatment options, managing insurance, organizing records, communicating with family members and much more. For employers, Wellthy promises to reach, support, and improve productivity of caregiving employees. Find out more: www.wellthy.com.
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Senior Machine Learning Researcher | Akasa |
About AKASA
We're on a mission to remedy the financial complexity crippling healthcare in America.
Our aim is to organize and use all healthcare information to reduce the cost of care and improve the patient experience.
As the only Unified Automation™ company for healthcare, we use the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for core operational management. AKASA's unique expert-in-the-loop approach, Unified Automation, combines modern machine learning with human judgment and subject matter expertise to provide resilient automation. AKASA brings together the best of people, data and technology to efficiently, accurately and autonomously navigate the complex state of medical reimbursement in the United States.
We are growing rapidly and we've built a cross-functional skill set deep into the DNA of the company. We have technology experts from top Silicon Valley technology companies (Google, Facebook, etc) and machine learning PhD programs (Stanford, etc). We also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And we have a deep bench of talent from healthcare services firms like the Advisory Board, Optum and Triage Consulting.
If you love to execute, we'd love to hear from you. We take a very mindful approach to building a culture that is flexible, diverse and inclusive. We approach our work thoughtfully, learn quickly, improve constantly, and celebrate our wins. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic whole selves to work. Be you.
About the Role
As a remote Senior Machine Learning Researcher, you'll report to our CTO and work with machine learning PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google).
Read our first two research publications about Autonomous Medical Codingand using Deep Learning for Payer Response Prediction for more information on our previous work.
AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.
What You'll Do
Create innovative AI/ML solutions to address real-world human health and healthcare problems
Contribute to AKASA’s drive to be on the cutting edge of technology through the publications and patents
Keep up to date with the advancement within the AI/ML community and decide when those developments warrant incorporation
Skills & Qualifications
A passion for working on important and impactful human health and healthcare problems
Ph.D. focused on ML or relevant publications or experience in fields related to AI,computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science.
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) are preferred.
Experience in rapid prototyping and quick experimentation and proficient in writing code that others can understand, adapt and extend
Ability to multitask effectively under pressure and easily adapt within a fast-paced environment with strong written and verbal communication skills
What We Offer
Work with an experienced and complementary founding team consisting of serial entrepreneurs, AI experts and healthcare industry leaders
Meaningfully own or contribute to category-defining products that fundamentally change healthcare operations
Great compensation package and equity grants
Generous coverage for health, dental and vision insurance
Full employer coverage for life insurance
401k Plan
Free membership to One Medical (Concierge Clinic) for you and your family (if you are in a region covered by One Medical)
Flexible schedules and personal time off (PTO)
Paid company holidays and bonus “Wellness Days”
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
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Intern Ai Machine Learning Research | Vimeo |
Vimeo empowers video creators to tell exceptional stories and connect with their audiences and communities. Home to more than 60 million members in over 150 countries, Vimeo is the world’s largest ad-free open video platform and provides powerful tools to host, edit and share videos in the highest quality possible.
The Machine Learning Research team at Vimeo is focused on researching and deploying the latest machine learning technology to enhance all stacks of Vimeo’s products. With the massive amounts of data at Vimeo, our projects range from user insights, networking, to video understanding, and involve a wide variety of artificial intelligence (AI) techniques, such as natural language processing (NLP), image and video understanding, deep learning, and reinforcement learning.
During your internship, you will work with us to define and work on a project that’s best suited for your interest, experience and desired area of growth, as well as Vimeo’s mission. The project might vary depending on what data is available and what’s accomplishable during the length of the internship. This internship will help you adapt to real-world machine learning problems, understand the opportunities and challenges in the industry, and acquire skills and insights to conduct large-scale machine learning research projects.
What you’ll do:
Perform machine learning research utilizing datasets available on Vimeo's platform.
Conduct a full cycle of research from problem definition, to data preprocessing, investigating and optimizing potential solutions, in order to deliver models aimed at deployment.
Skills and knowledge you should possess:
Student pursuing a M.S./Ph.D with a focus on machine learning, computer science, statistics or related quantitative areas, with an expected graduation date in 2022-2023.
Strong analytical and quantitative skills, with strong programming skills and experience in Python, R or Matlab. Experience with deep learning frameworks such as TensorFlow, Pytorch.
Knowledge of deep learning with at least one of the following areas: Natural Language Processing, Computer Vision, Recommendation Systems, Search, Personalization, Reinforcement Learning.
Strong sense of ownership for one’s project, and ability to independently perform research as well as collaborate with researchers and engineers with supplemental expertise.
Bonus points:
Prior experience in publishing in top machine learning/data science conferences and journals.
While we offer competitive compensation, we don't provide accommodation. Please ensure you are interested in an internship in New York City under these circumstances before applying.
#LI-CB1
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Data Scientist Intern Masters Ph D | Gopuff |
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 700+ cities within the US and Europe and expanding quickly.
As a Data Scientist Intern at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including search and recommendation, personalization, pricing optimization, predictive inventory planning, operations optimization, and experimentation. You will 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 and a thoughtful problem solver.
Key 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 to scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operations
Build Recommender Systems and personalization solutions to greatly enhance shopping experience
Build models that support real-time events and internal stakeholder decisions across the business - from Marketing and Merchandising to Operations and Supply Chain
Build a best in class experimentation platform
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc.
Drive adoption of data products and data science solutions into the planning process for investment decisions with finance and the leadership teams
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
Required Qualifications
Currently pursuing a Masters or Ph.D. in computer science, statistics, mathematics, physics, data analytics, engineering or another quantitative field from an accredited university or college
Graduating between December 2022 - June 2023
Preferred Qualifications
Hands-on experience applying descriptive statistics, machine learning, predictive modeling to solve challenging problems
Programming skills in Python
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
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
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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Data Scientist Marketing | Mythical Games |
We are looking for a highly-skilled Data Scientist with experience performing statistical analysis, predictive analytics, and attribution modeling among others. This role is specifically more focused on supporting the growth marketing team. The role will be involved in things like helping identify important user subgroups, informing ad spend, email targeting, and A/B testing.
RESPONSIBILITIES:
Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
Predictive analytics
REQUIREMENTS:
Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models:lifetime value modeling, causal inference, attribution modeling, outlier detection
The ability to ELI5
Drive to learn and improve
Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
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Data Scientist | Mythical Games |
We are looking for a highly-skilled Data Scientist with a strong background in statistics and programming. In this role, you will be responsible for creating and maintaining a variety of models – the job is never boring! This role is not assigned to any single project, but will be able to work on a variety of problems.
RESPONSIBILITIES:
Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
ML visualizations
Predictive analytics
ZREQUIREMENTS:
Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models: outlier detection, lifetime value modeling, or causal inference
The ability to ELI5
Drive to learn and improve
Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
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Senior Data Scientist | Mainstreet |
The problem
Every year, billions of dollars are set aside by your local, state, and federal representatives to make it easier for anybody to build a small business and turn their dream into reality.
But while governments might be great at governing, they’re terrible at marketing. These billions sit unclaimed, waiting for founders to discover them. We want to fix that, and we need your help.
The opportunity
MainStreet is looking for a Senior Data Scientist to enable a deep understanding of our customers in order to power our internal systems and provide “magical” experiences for our customers. This role will work to enable others to tackle data intensive problems as well as be a foundational member of the data engineering team - defining what data science looks like at MainStreet. As the company continues to grow, this role will provide an opportunity to highlight aggregate insights externally and solidify MainStreet as a leader in the SMB space.
What you’ll do
Build the foundations for a customer-obsessed culture via data.
Propose effective solutions to critical business analytics problems, including the ability to design thoughtful experiments.
Effectively communicate with a wide variety of business partners by explaining complicated concepts to a wider audience - data scientists, engineering, and broader business partners.
Split time between empowering other teams and novel exploration of our data - increase our understanding, build out second layer data, and build models for our product.
Help shape the future of data science at MainStreet, bringing your ideas on improving and automating what we do and how we do it.
What we’re looking for
5+ years experience in a data science or machine learning role.
Technical understanding of key technologies around systems, software engineering, and data management.
Practical experience with Python and SQL including building end-to-end solutions from quick prototypes to systems that must be maintained in production for many years.
Ability to influence without authority, and collaborate with stakeholders horizontally and vertically throughout the company.
Ability to work independently and communicate over the phone and with video chat software, such as Zoom.
Strong preference for candidates with corporate financial data, payroll data, and/or time-series data experience
Preference for candidates with an advanced degree in a quantitative field such as Math, Physics, Statistics, Biostatistics, Economics, Finance, and/or Computer Science.
Compensation
Base salary range for this position is $130,000 - $200,000 and is based upon years of experience that is commensurate with the level of the position in addition to location.
Bonus rate that is commensurate with the level of the position.
Robust equity program with significant upside potential.
Benefits including medical, dental, vision, disability, life, 401k plus additional perks to make your work from home life better.
About MainStreet
What we do
We make these tax credits easy as butter. MainStreet pairs companies & employees with hundreds of local, state, and federal tax programs. Then we do all the paperwork to get companies what they’re owed in minutes, vs the dozens of hours it would otherwise take.
The average company gets $51,040… in the first year. In cash.
We just announced our $60M Series A, led by SignalFire. We’re backed by an incredible community of partners, operators, and founders, including Ryan Hoover (Product Hunt founder), Ashton Kutcher’s Sound Ventures, Des Traynor (Intercom cofounder), Gradient (a Google Venture Fund), Ron Conway’s fund SV Angel, and Tusk Ventures.
How we think about diversity
We try to make sure the diversity of our customers is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities — we end up building a better experience for everyone who uses MainStreet.
We know we need to be intentional in our hiring practices in order to overcome systemic biases we may be blind to. So, if your lived experience has given you a unique perspective on business, startups, or any other aspect of our business – even if you don’t meet all the requirements – please still apply and let us know so we can make sure your application gets the attention it deserves.
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Senior Data Scientist | Handshake |
Your Impact
At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineers. This is a high-impact position where you will not only influence product strategy and decisions affecting millions of students and young alumni but also build the very products that democratize opportunity by enabling those users to find great jobs. We know that connecting students with jobs and employers can be so much more than string matching buzzwords in resumes and job descriptions. If you want to make a mark on both our organization and the job search experience for millions of students while growing as a data science leader, then this role is for you.
Your Role
Develop the algorithms and data pipelines that connect users across the Handshake marketplace, from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
Find the signal in the noise and turn massive datasets into rich, relevance-enabling feature sets. Employ Natural Language Processing and feature engineering techniques to turn relatively unstructured data sources like job descriptions into “matchable” hiring criteria.
Provide technical leadership to a growing team of curious and highly motivated data scientists.
Be a tactful and effective partner to product managers; help design and analyze experiments and proactive analyses that drive key product decisions and unlock invaluable insights.
Be an ambassador for data-driven product development at Handshake. Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely.
Your Experience:
Experience building, implementing, and iterating on data and/or machine learning powered products and/or conducting relevant academic research on large data sets.
Knowledge of machine learning practices with a focus on topics such as search and relevance, recommender systems, natural language processing, and/or Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn)
Experience working directly with cross-functional teams such as leadership, product management, engineering, and design
Experience using modern analytics tools such as Python, R, Spark, BigQuery, Snowflake, etc.
Ability to start, own and drive projects to completion with minimal guidance
Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to any audience (e.g. presenting findings and deep-dives to senior leadership)
Bonus Areas of Expertise:
Experience working on small, scrappy, and growing data science teams
Knowledge of Google Cloud technologies and Airflow
Mentorship of both data scientists and would-be data science partners
Developing and deploying production-quality machine learning pipelines and models
Compensation Range:
$166,725 - $230,270
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Senior Data Scientist | Relativity |
Location: Remote United States
Department: Engineering
Work Status: Full-time
Overview
Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?
Relativity's scale and scope create tremendous variety for rich data exploration and insights; our market position and scaled products mean our latest and greatest models and insights can quickly be in the hands of our users. If you're looking for a data rich environment that is already using AI, with at-scale challenge and a ton of new ideas and experimentation ahead, you will find yourself at home on the AI data science team within Relativity. The team is growing fast; you'll have a huge impact in shaping the culture, best practices, and vision of how machine learning and AI are used at Relativity. You'll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis. We are looking for collaborative builders who want to move fast and love a challenge.
Your Role in Action
Develop machine-learning models and algorithms to be released as new product features.Work with engineers to develop production-level code and contribute to the entire deployment lifecycle.Help develop internal standards, processes and tooling for a new data science team.Work with Product to assemble datasets for evaluation and model building..
Your Skills
A Master's Degree in information retrieval, natural language processing, or a related discipline, AND 2 years of relevant industry experience OR a Ph.D. in information retrieval, natural language processing, or a related discipline OR the equivalent of 5 years of relevant academic/industry experience.Experience building and deploying natural language processing modelsProficient in programming and scripting in a language such as Python.Comfortable with command-line tools in UNIX environments.Use inclusive language whenever possible, communicate data science concepts to colleagues of all backgrounds, use technical vocabulary judiciously and with intention
Apply Now
About Relativity
Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.
Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Equity program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Senior Data Scientist | Nearside |
Our mission is to help small businesses start and grow. We are building financial products that empower business owners and enable them to focus on their products and on growing their businesses. At Nearside we care about creating solutions which provide accessible, transparent, and fair access to financial products. We are a remote friendly company and our team is spread out across the United States and Canada. At this time, we have a physical office in San Francisco with more locations opening around the country soon. Our company is growing and we’d love for you to grow with us!
Opportunity
At Nearside, the Data team partners with every function in the organization in order to help teams make data-driven decisions, take data-informed actions, and build a world-class data platform. We're highly quantitative individuals who love to turn data into insights and communicate our findings fearlessly, and we're looking for people with a similar mindset who are constantly curious, driven to understand our business better, and committed to creating value.
As a Senior Data Scientist at Nearside, you will partner with teams across the company to refine our understanding of the business, define (and measure the success of) new initiatives, develop and implement models, and provide actionable insights and conclusions in order to support teams cross-functionally. This will be a high visibility role that will add significant value to every part of our company to further our goal of helping small business owners (SMBs) scale and grow.
If you are someone who can proactively surface recommendations and insights, can work across the analytics and data stack to solve complex problems, has a passion for operations and process, and thrives at the intersection of business needs, customer experience, and technology/innovation -- then we would love to meet you!
What You’ll Be Doing
Evaluating the performance of company initiatives by analyzing customer funnels and metrics (new business, retention, CAC, LTV, churn, etc.)
Partnering with the Credit/Fraud, Marketing, Product, Ops, Finance, and Compliance teams to help them better understand their functional areas, build understanding and increase use of our data, and set a high bar for analytics across the organization
Building data science models for risk analysis, fraud detection, and customer acquisition in order to accelerate Nearside’s business
Creating dashboards in Mode that allow internal consumers to gain insight into the performance of their functional areas
Constructing reusable data pipelines in Fivetran and dbt for company-wide use
Monitoring the state of the business on a regular basis and generating data-driven hypotheses and action items in order drive business impact
Recent projects include: growth funnel measurement, measuring the success of new growth channels (eg. out-of-home advertising), e-mail marketing A/B testing, fraud detection rules for AML compliance, and more!
Experience/Skills You Need:
4+ years of work experience in analytics/data science or a directly related field – some of which should be at a technology or finance company
A proven track record of initiating and delivering actionable analyses/recommendations in order to drive business impact
An understanding of fintech business models and key metrics
Experience designing and implementing data science/ML models to provide deeper insights and recommendations
Excellent communication skills (technical and non-technical) and comfort working with high-level stakeholders
The ability to work autonomously in a small group: strong communication, collaboration, and empathy
Excellent SQL skills and experience with databases/data warehouses; fluency with BI/visualization tools
Deep knowledge of Excel, R, Python, or other analysis and modeling tools
Strong critical reasoning skills, including an understanding of common pitfalls of data analysis
You’re not expected to have expertise in all of the above areas, but you should be interested in learning and growing your knowledge in the areas that are less familiar to you.
About Us
Benefits
Nearside does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Product Data Scientist | The Zebra |
INTRODUCTION:
Notice: The Zebra herd will be offline from Friday, December 24th until Tuesday, January 4th for celebration and recharge for the new year! We look forward to responding to you upon return. Thanks in advance for your patience and understanding. Happy holidays from our herd to yours!
The Zebra, named a Best Place to Work in Austin four years running, is revolutionizing how connected consumers research and shop for insurance. We’re a purpose-driven company looking for a Product Data Scientist to drive smarter product decisions. Reporting directly to a Senior Manager of Analytics, you will have clear visibility into company direction and strategy. In this pivotal position, you’ll define and track key performance indicators, support strategic initiatives, design experiments, evaluate A/B tests, implement data instrumentation, and identify consumer behavioral drivers to improve monetization and the user experience.
While we are open to remote work across the contingent US, we are still in the process of establishing our company to support work in all states! Like many companies, pre-COVID we weren’t set-up this way. We’ve recently made the shift from an in-office organization to a hybrid model and are loving the flexibility it allows our employees. We are set up to support employees who want to be fully remote, in-office only, and a mix of the two. Please note - we will not be supporting work based out of the following states: CA & MA.
This position is not currently eligible for visa sponsorship.
WHAT YOU'LL DO:
Work within our Core Insights team to prototype, prove out, and develop compelling business cases for new ideas within The Zebra
Apply analytical, regression, and machine learning techniques to describe, explain, and predict user behavior
Take a proactive and self-starter approach to digging into the data to find opportunities and problem areas across multiple team objectives
Consult and provide mentorship in the design and execution of experiments across the organization to guide product direction with iterative innovation and measurement
Analyze impact of A/B tests and feature changes on key performance indicators metrics to catch technical bugs and highlight product gaps and inefficiencies
Identify or design new performance indicators and add new metrics to our reporting tool to empower teams to be self-sufficient in their data reporting
Build internal tools and data resources to assist teams in meeting and exceeding their objectives
Collaborate with other analysts, the data team, and data science to establish standard methodologies and to investigate cross-departmental opportunities
REQUIREMENTS / QUALIFICATIONS:
3-5+ years professional (or comparable) experience in data science or analytics
Experience with SQL
Programming experience in Python, R, or SAS
Experience with A/B testing
Ability to assemble analysis datasets and creatively engineer model features
Experience in statistics & predictive modeling (experimental design, decision trees, clustering methods, regression, t-tests, etc.)
A passion for problem solving with strong analytical capabilities
EXPERIENCE THAT WILL IMPRESS THE HECK OUT OF US:
Experience with BI platforms, e.g. Looker, Tableau, Adobe or Google Analytics
Insurance, E-Commerce, or Financial experience
Advanced STEM degree
BENEFITS + PERKS:
Inclusive and healthy environments are crafted intentionally. All of our employees can join and participate in (or create your own!) Employee Resource Groups. Here are some of our other wonderful perks of working here:
Competitive Compensation & Stock Option Offering
Health, Dental, Vision & Disability Coverages
HSA offering + employer contribution
401k with match
Unlimited PTO + flexibility to enjoy it
Paid Parental Leave Program
Wellness perk ($100/month)
Pet Adoption Reimbursement ($300/year)
Learning & Development Stipends
Bi-Monthly Wednesday Catered Lunch
Zeal Care - Monthly wellness subscriptions ($35/month)
Curated monthly snack box - sent to your house
Join a team that truly lives their values, and values their lives (outside of the office. Cliche, we know… but we really mean it)
ABOUT THE ZEBRA:
The Zebra is the nation’s leading, independent insurance comparison site. With our dynamic, real-time quote comparison tool, consumers can identify insurance companies with the coverage, service level, and pricing to suit their unique needs. Headquartered in Austin, Texas, The Zebra has sought to bring transparency and simplicity to insurance shopping since 2012 -- it's “insurance in black and white.”
We've garnered attention and investment of some of the nation’s top venture capitalists. Check out all of our awards & recognition!
Our core mantra is "All Stripes Welcome." As part of our dedication to maintaining an inclusive and diverse workforce, we provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability or genetics. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform core job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Senior Marketing Data Scientist Agile Devops | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist to join our Product Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry leading Jira Software.
In this role, you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product marketing roadmapDevelop comprehensive program and product views of go-to-market performance by defining customer journeys, measuring product performance and making strategic recommendations for improvementDrive the measurement culture and understand the impact our product marketing strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 your partners use data to make decisions
On your first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Marketing, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one vizualisation tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not required if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics
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Senior Email Marketing Data Scientist | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong this could be a great fit!
In this role, you'll get to:
Establish measurement methodologies to understand the value of email as a channel that contributes to acquisition, onboarding, cross sell and retention. Build business cases for investing additional resources into the email program. Use experimentation methodologies, control groups etc. to measure the impact of email campaigns and suggest improvements to marketers.Collaborate with our audience targeting and segmentation team to ensure customers are receiving consistent and meaningful messages. Work with our Marketing Engineering and Data Engineering teams to improve the tools and data sets we have for the email channel. Build & enhance reporting for marketers to monitor the performance of the email channel.
On your first day, we'll expect you to have:
5-7 years of experience in analytics1-2 years of experience in email marketing Advanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and prioritiesExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Proficiency in at least one marketing automation tool such as Market, Eloqua, Exact Target, etc.A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsDeep knowledge of statistics and probabilityAn advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science
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Senior Marketing Data Scientist Buyer Experience | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
In this role, you'll get to:
Use data to make sense of complex buyer journeys. Analyze how customers navigate our marketing websites and identify opportunities for improvement. Report on KPIs for www.atlassian.com. Research and explain trends and their impact on the success of the overall business.Apply advanced statistical techniques and causal inference methods to design and analyze web experimentations (i.e. A/B testing, quasi-experimentation, statistical tests, Bayesian experimentation, etc.). Contribute to experimentation best practices and standards across marketing. Ensure a high standard for web tracking and data collection/quality.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of business decisions.
On your first day, we'll expect you to have:
5-7 years of experience in analytics2-3 years of experience in e-commerce, web analytics, buyer journeysDeep understanding of statistical techniques for experimentationAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.A willingness to learn and adapt to new technologies and methods as needed
It's great, but not required if you have:
Experience working with international teamsAn understanding of Enterprise SAAS metrics and measurement techniques (MQLs, SQLs, Lead Scoring)Experience with scripting and analysis languages (Python, R)Experience with GitAn advanced degree in a quantitative discipline such as statistics, economics, mathematics, or computer science#LI-EW1
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Senior Principal Data Scientist Pst | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.
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Senior Data Scientist Product Analytics | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us!
We are looking for a Senior Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry-leading Jira Software.
In this role you'll get to:
Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics
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Senior Data Scientist Product Analytics Halp | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data? Do you enjoy using data to solve business problems and create customer value? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? Then this role could be for you!
This role is a unique opportunity to work with a fast-moving team that joined Atlassian via acquisition and is growing quickly. You’ll be the first data scientist focused on this product, giving you the opportunity to build the entire analytics architecture from the ground up while working with a small, agile team. At the same time, you’ll be able to leverage the resources, brand, and scale of a global Fortune 100 company.
The product you will be focused on is Halp - one of Atlassian’s new products. Halp is a conversational ticketing solution for internal IT and operations teams using Slack and Microsoft Teams. The product impacts millions of employees at future-thinking companies like Peloton, Pinterest, and Unity. It is used to dramatically reduce ticket resolution times, increase user satisfaction, and amplify productivity. Our customers produce millions of interactions with the product every week, creating a treasure trove of valuable data.
In this role you'll get to:
Own the data analytics efforts for the entire Halp product.Build out the data architecture, systems, and dashboards to enable everyone at the company to access and understand Halp’s data. Work closely with the product, engineering, design, and marketing teams to ensure we are measuring the right things to make data-driven decisions. Design targeted explorations of Halp’s product data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture from understanding the big picture product strategy right down to the experiment implementation details.Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics
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Data Scientist Enterprise Marketing | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.
We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and sales organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
We're looking for an analyst with outstanding technical and leadership skills to provide insights on our enterprise-focused go to market efforts across marketing and sales.
In this role you'll get to:
Create analytical insights from our customer and marketing data to drive more effective go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work cross functionally with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a high performing team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of business decisions.
On the first day, we'll expect you to have:
2-4 years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentExperience in B2B marketing or sales analytics and experience working with a field sales teamAbility to balance priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.Willingness to learn and adapt to new technologies and methods as needed
It's great, but not required, if you have:
Experience working in a global environment with remote teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsExperience with statistics and probability in a business setting
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Manager Data Science Product Analytics | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us!
We are looking for a manager to join our Product Analytics team, working with teams in Australia and the US. We’re seeking someone with strong business instincts, management experience, creativity and analytics mastery. Someone who is passionate about applying these skills to lead an analytics team, drive smarter product decisions, and ultimately delight our customers.
You will be part of Atlassian’s Accelerator organization whose mission is to accelerate the growth of Atlassian through new users and new products. As a leader, your peers will rely on your expertise and you will play a major role in driving initiatives that keep Atlassian at the forefront of world-class analytics and data science.
In this role you’ll get to:
Work with product leaders to identify high impact opportunities for analytics and data science and align priorities with the product roadmapLead a team of data scientists to identify, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsPlay with our seriously large volume of analytics data to understand trends, find opportunities and make recommendations to improve user journeys and customer valueBe a part of building a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Extensive proven experience applying your analytics skills projects which have had a positive impact on strategic and product roadmap decisionsAn agile development mentality, 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"Strong ability to communicate and influence, crafting compelling insights, explaining data science concepts to diverse audiences, and impacting decisionsFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Strength in one or more visualization tools (Tableau, R-Shiny, etc)An understanding of the SaaS development, business model and metricsExperience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
Previously worked in global teams and high growth companiesAre an active member of the broader analytics and data science community
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Senior Marketing Data Scientist Partnerships | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ that changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist, Partnerships, to join our Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately delight our customers.
Partnerships, specifically technology partners, are industry peers with products that complement the Atlassian product suite. Through integrations that unlock combined use cases, our customers are able to accomplish more with their teams from these ‘better together’ capabilities. You’ll be responsible for working with our Marketing, Partnerships, and Product Integrations teams to measure success of rich partnerships and integrations between Atlassian products and popular services such as AWS, Slack, Zoom, Okta, Google, Microsoft, and others (examples appear in Atlassian’s recent investor letter). These partnerships help drive customer acquisition and growth and you’ll play a pivotal role in the company's future success.
In this role you'll get to:
Develop comprehensive program views of go-to-market performance by defining customer journeys, measuring partnership performance and making strategic recommendations for improvementCollaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and marketing roadmapDrive the measurement culture and understand the impact our partnership marketing strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Lead by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality, balancing “having something now" vs. "perfection in the future"Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling storiesFamiliarity working with Product Marketing, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of B2B marketing, business model and metrics Exposure to two-sided marketplaces Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community#LI-AW1
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Senior Data Scientist Customer Analytics | Atlassian |
Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust team to ensure our cloud is ready for our large enterprise customers. This includes enhanced security, reliability and scale, compliance with FedRAMP and HIPPA, building features that are cited as cloud blockers for these enterprises, and building tolling for migration of data. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
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Head Of Data Science | Density |
At Density, we build the infrastructure necessary to measure how people use space. The result of distributing this platform is lower emissions, less waste, better access, safer buildings, and better designed cities. It is a long term pursuit and one we could use your help achieving.
The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.
Importance of Data Science at Density
At its core, Density boils down to its real-time people counting algorithm. We are only as good as our data and our engineers. Density’s Data Science team is uniquely challenged with accurately counting people using a variety of sensors that focus on anonymity at the source. If you get excited about using cutting-edge lasers, radar, and lidar tech and building advanced machine learning algorithms that process billions of data points, you should join our team.
As Head of Data Science you will be leading some of the most technical teams with the widest skill sets at Density. Everything from our machine learning algorithms on the embedded devices, to the cloud software the CS & Engineering team use to evaluate our accuracy and performance, will be under your supervision.
Who you are:
You thrive when developing great people, not just great products
You have experience in cultivating a strong engineering culture in an agile environmen
tYou have previous experience developing large scale production ML systems
You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
You have previous industry experience with large scale ML systems using frameworks such as PyTorch, Tensorflow, and Scikit-learn
You're familiar with the industry trends and keep up with the latest product offerings, and can understand trade-offs of existing solutions
Ideally, you're actively engaged in the ML community (open source, meetups)
The ideal candidate will have:
5+ years experience working as a Machine Learning Engineering Manager
3+ years experience as a software engineer focused on ML and Algorithm tooling
Experience with embedded systems and hardware engineering (Buildroot / Linux)
Experience with Cloud APIs and Software Application development (Django / Python)
What we bring:
A team hailing from places like Apple, LinkedIn, Stripe, Cisco Meraki, Hashi Corp, WeWork, NASA, & beyond.
$227 million raised from investors like Kleiner Perkins, Founders Fund, and Upfront Ventures.
A work environment full of fun, smart, talented, dedicated, and truly kind teammates.
Our values are be humble, seek feedback, and always solve the fundamental problem. These values are hard to achieve but we aspire to them daily.
Excellent benefits including medical, dental, vision, mental and reproductive health, 401K, equity, Flex Fridays, Remote Friendly, unlimited and mandatory PTO, and more.
We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.
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Data Science Manager | The Mom Project |
Why you?
You are someone who brings your life experience to create products that truly make a difference in the lives of working parents. You use data to inform roadmaps, but you also know when you have enough information for action. You love the challenge of prioritizing user needs amongst multiple business objectives. You enjoy growing from diverse perspectives and coworkers while collaborating with others in a cross-functional team, and across departments.
You are looking for something more from your job. Maybe a bigger problem to solve with both immediate and long term impact, or perhaps you just need a mission you can believe in every day. You are scrappy and collaborative while looking to join an inclusive and supportive culture with a bias for action. You dig a balanced startup life and can wrestle challenges with grace. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic, and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago & Cincinnati. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $200M in earning potential by connecting our 500,000+ moms and mom-supporters with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other. Our commitment to Diversity, Equity, & Inclusion across race, gender, age, religion, identity, and experience drives us and our mission forward every day. We strive towards inclusion and that means everyone is comfortable bringing their authentic and best self to work every day.
About the Role:
We’re looking for a Senior Manager of Data Science to lead our growing team, which currently has two senior data scientists! The data science team was fully established in summer 2021 and the team is putting the foundational pieces we need in place. We are looking for a lead who can continue building out the data science team and collaborate with other teams to get models into production.
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift, FastAPI, and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
All applicants applying for U.S. job openings must be legally authorized to work in the United States and are required to have US residency at the time of application
What you’ll do:
Manage, mentor and coach data scientists Shape the roadmap for data science with the team’s product manager Facilitate communication with other teams, including product managers and engineering managers, to ensure data science needs are on other teams’ roadmaps Collaborate with our platform team to ensure we have the infrastructure we need for data science Define processes and standards for the team to follow Jump in code reviews Advocate for best data practices throughout the organization including thinking about what data we should be collecting Evangelize data science throughout the company Recruit data scientists to build up the team Represent data science with external vendors
The skills and abilities you’ll need to succeed:
You have been the people manager of a data science teams before (at least two years of experience) You have built out roadmaps for data science teams You’re excited about joining a new team and developing best practices You like working in a startup environment; part of your job will include establishing the infrastructure needed for data science You can collaborate with folks across the company, e.g. product, engineering, finance, operations, and sales You enjoy thinking about industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You care about ensuring that the algorithms the team builds are not biased against specific groups of people You enjoy working with a team of goofy people who do things like name all of their projects after candy
Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation Full medical, dental, vision Short and Long Term Disability Generous Paid Parental Leave Family planning benefits through Progyny Generous PTO (that people actually use!) 401K match Career Pathing Flexibility/Autonomy Talkspace
Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work Casual Culture: because work should be a place you want to be Health and Wellness stipend Learning and Development stipend Work From Home Stipend
We're just getting started. Join us in building the future of work.
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Data Scientist Analytics | Deliverr |
Our Mission:
In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.
Our Team:
Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.
What you'll do:
Discover and communicate patterns in your business domain (e.g., trucking economics, shipping performance) using your quantitative analysis and data communication skills.
Influence metrics by identifying impacting levers, making recommendations to other teams, and measuring impact.
Empower stakeholders to understand patterns in your domain by defining core metrics and designing / building / maintaining self-serve analytics (i.e., business intelligence tools).
Inform Deliverr’s decisions around your domain by providing insights via sound analysis.
What we’re looking for:
Knowledge
Quantitative degree (e.g., math, physics, economics). 0-2 years of experience in a related role.
Skills
Proficiency in SQL fundamentals.
Abilities
Precise and concise communication. Ability to build effective reporting (e.g., reports, dashboards). Urgency for action -- over rigor when necessary. Ability to organize, prioritize, and adapt in a rapid-growth startup.
Bonus points for:
Programming ability (e.g., Python, R).
Experience with dbt.
Experience working in a logistics and/or ecommerce org.
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Data Scientist | Great Minds |
Data Scientist
Job description
Great Minds, a rapidly growing challenger brand in the PK-12 instructional materials space, seeks an experienced Data Scientist.COMPANY PROFILE
Great Minds, a mission driven Public Benefit Corporation, brings teachers and scholars together to craft exemplary instructional materials that inspire joy in teaching and learning. Our English curriculum, Wit & Wisdom®, Eureka Math™ and PhD Science™, all support teachers as they take students beyond rote learning to provide a deeper, more complete understanding of the humanities, mathematics, and the sciences. Founded in 2007, Great Minds now employs more than 1,000 people.
For additional information please visit: www.greatminds.orgOUR MARKET POSITION
Great Minds’ Eureka Math is the most widely used curriculum in the history of American education. It enjoys an unrivaled 40+ net promoter score. Eureka and its sister products, Wit & Wisdom English and PhD Science, embrace much higher expectations for all students and all teachers. In a market dominated by scripted, procedural materials that drive expectations down, Great Minds produces curricula that celebrate knowledge, respect the craft of teaching, and acknowledge the true capabilities of students.Job Purpose
The data scientist’s primary purpose will be to assist the organization in uncovering and understanding key metric drivers for the success of our digital products and providing the data to support these insights. The data scientist will work with Sales, Support, Content and Product teams to understand how to better improve our products for customer needs through usage analytics and insights. The data scientist will also collaborate with content and product teams to design and develop data-driven product features. The candidate will be responsible for gathering requirements from stakeholders, working with the engineering team to source the data as needed, use a variety of tools and methods and to analyze and interpret the data, and finally assist in building out and maintaining dashboards and reports. Candidate should have a passion for data and enthusiasm for learning and discovering new information.
Responsibilities
Work with multiple stakeholders to help them envision the insights and questions that can be addressed with data, through the use of prototypes, discussion, and mock-ups
Identify additional data needs that may be important to answer key questions and work with development teams to be able to track such data
Aggregate and analyze data across disparate sources using a variety of analytical and statistical tools and methods and derive intelligence that can be turned into actionable insights
Create and enhance dashboards and reports as needed to support various teams across the company
Requirements
Written and Oral communication - Ability to represent data findings in a relatable way
Experience with data visualization tools such as Tableau, Power BI, Google Analytics, Quicksight, etc..
Experience with Data Modeling
Intermediate coding skills using SQL, Python and/or R
Experience and ability to communicate clearly using presentation tools such as Microsoft Power Point to tell a story through the data
Experience with statistical modeling. Background in machine learning and predictive analytics is nice to have.
Details:
Required Education
Bachelor's degree
Status
Full-time
Location
Remote
Resume and cover letter required.
Selected candidate will be required to pass a criminal history background check.
New employees will be required to provide proof of COVID-19 vaccination, subject to potential accommodation as required by law or otherwise permitted by the Company.
Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization’s commitment to the principles of fair employment and the elimination of all discriminatory practices.
Apply for this Job
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Lead Data Scientist | Metlife |
Job Location: This role can be done from our offices in either Cary, NC or Remote (virtual / work from home)
Role Value Proposition:
In an ongoing effort to grow and enrich MetLife’s data-driven business strategy, the central Data and Analytics Center of Excellence is seeking an experienced data scientist to support its goal of providing mathematically and statistically based insight to major decision-based processes at MetLife. As a lead data scientist, your work will focus on research and development, analytics delivery, and evaluation of new technologies and methodologies.
Key Responsibilities:
Develop analytical features which will provide the greatest value to the company.
Deliver cutting-edge approaches through first-of-a-kind solutions to transform our decision processes.
Develop associate data scientist talent and advise on current project work.
Build collaboration and awareness in global analytics community.
Assist in the determination of necessary technology to transform MetLife.
Essential Business Experience and Technical Skills:
Required:
Master’s degree or PhD in Statistics, Mathematics, Operations Research, Analytics / Data Science, or similar quantitative field
3+ years of experience as a data scientist / quantitative researcher (≥2 years for doctorate level)
Programming proficiency in Python and/or R
Understanding of the mechanics and application of statistics, statistical models, and data science techniques with the ability to explain relevant conceptual points to a business audience
Basic understanding of data integration / ETL concepts. Ability to clean and/or manipulate data using statistical software
Excellent written and verbal communication skills in English
Business Category
Advanced Analytics & Data Science
Number of Openings
1
At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.
The wage range for this position specific to Colorado is $96,900-129,200 base. You may be also eligible for the MetLife Annual Variable Incentive Plan ("AVIP"). Your eligibility for an AVIP award are governed by the terms of the applicable plan or program documents. MetLife offers a comprehensive benefits program that includes Medical, Dental, Life, Vision plus Retirement benefits and Paid Time Off.
#LI-Remote
MetLife:
MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.
We are one of the largest institutional investors in the U.S. with $642.4 billion of total assets under management as of March 31, 2021. We are ranked #46 on the Fortune 500 list for 2021. In 2020, we were named to the Dow Jones Sustainability Index (DJSI) for the fifth year in a row. DJSI is a global index to track the leading sustainability-driven companies. We are proud to have been named to Fortune magazine's 2021 list of the "World's Most Admired Companies."
MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world.
We want to make it simple for all interested and qualified candidates to apply for employment opportunities with MetLife. For further information about how to request a reasonable accommodation, please click on the Disability Accommodations link below.
MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.
MetLife maintains a drug-free workplace.
Requisition #: 122926
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Data Science Intern | Vouch |
Internship Program Overview:
Would you like to play a critical role in the success of the next wave of world-changing startups? Are you excited about understanding the pace and evolution of the venture ecosystem? Would you like to contribute to a product that will redefine the risks founders can comfortably take on as they build from ideas into companies? Our mission at Vouch is to craft the best insurance for those building the future, and our Data Team is looking for a summer intern.
Our goal is to provide a meaningful and hands-on summer work experience in a high-growth start-up. This will be a full-time, paid 10-week internship program beginning Monday, June 6th, 2022
Job Type: Full-Time
Compensation: $25/hr
Application deadline: April 15th, 2022
Final Decisions: May 6th, 2022
Program date: June 6th, 2022 - August 12th, 2022
Location: Remote
About Vouch:
Insurance... sounds slow, old-fashioned, and unexciting. Exactly. Insurance is broken, and it's failing fast-moving, innovative startups.
Vouch is a new, technology-first insurance company backed with $160M in funding from world-class investors. Like Stripe for payments or Brex for credit cards, Vouch is creating the go-to business insurance for high-growth companies.
We're doing this by making insurance fast, responsive, and focused on our customers -high growth and innovative companies. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.
What does a work environment look like at Vouch?
Vouch has a 3-HQ model: Office-Based, Office-Linked, and Remote-First. This role is Remote-First, which means that team members can work from anywhere in the U.S. so long as they can work during Vouch core collaboration hours (9 am-3 pm PT Mon-Fri).
Role Responsibilities:
Data is existential to our company's success. We’re looking for an exceptional intern who lives and breathes data, who is passionate about pushing the startup ecosystem forward, and who is committed to the hard work necessary to continuously improve. As an intern in our team you will have a chance to build NLP and ML models on top of the most comprehensive startup dataset in the world.
Job Duties:
Depending on your background, and interests, you might work on any of the following:
Build and deploy NLP models to classify companies according to their business characteristics
Develop graph algorithms for link prediction, node clustering, or entity resolution
Design and implement processes to generate ground truth labeled data sets to validate our models
Research and explore innovative ML strategies to operationalize the use of proprietary data in scoring current and potential clients along different risk exposures
Additionally, we'll expect you to
Participate in brainstorming, retrospectives, sprint planning, and team building activities
Work cross functionally with team members across the Vouch organization to understand the downstream impact of our data models
Effectively talk (and listen) to engineers, designers, marketers, executives, and other stakeholders.
About you:
Surprise us! Most candidates will be pursuing a Bachelors, Masters or PhD in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
Strong knowledge of Python and SQL
Working knowledge of git and command line tools
Track-record of solving complex problems and learning fast
Experience with and solid understanding of data visualization tools and concepts
Familiarity with data science frameworks such as Scikit-Learn, NetworkX, PyMC, Keras, etc.
Previous experience working with relational or graph databases
Nice to have:
Exposure to and passion for early-stage startups and/or high growth environments
A background in insurance or other regulated categories
Experience building web applications with Python and modern frontend technologies (TypeScript, React, webpack, npm, d3)
Vouch provides a number of benefits to help you bring your best self to work:
Wellness allowance ($80)
Cell phone/Internet allowance ($50/month)
Monthly Doordash credits ($80/month)
Vouch believes in putting our people first, and building a diverse team is at the front of everything that we do. We welcome people from different backgrounds, experiences, perspectives, and ranges of abilities. We are an equal opportunity employer and celebrate the diversity of our growing team.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]. (#LI-DNI)
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Entry Level Phd Data Scientist | General Motors |
Description
About GM
There’s never been a more exciting time to work for General Motors.
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.
Job Description
General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.
Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the first few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.
At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.
If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to apply today!
We are looking for Data Science professionals who:
Have a steadfast drive for excellence Challenge themselves and their peers Enjoy working collaboratively in cross-functional teams Demonstrate a good work ethic Have a strong ability and willingness to learn Exhibit curiosity and are willing to explore new possibilities and solutions Desire to deliver innovative solutions to complex problems Understand advanced math and analytics concepts, and can apply them to real applications
Role – as a Data Scientist, you will be applying Modeling techniques to tackle complex business problems. They are responsible for building predictive models and machine-learning algorithms, analyzing large amounts of information to discover trends and patterns, and deploying analytical solutions, including visualizations and predictive models.
Additional Description
Requirements:
Education: Ph.D. – Mathematics, Statistics, Computer Science, Economics, Social Science or other quantitative degree preferred Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus. Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
Technical Experience:
Language proficiency in Python, R, Spark, Scala Experience in big data tools and databases: Hadoop, TensorFlow, Greenplum, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra Data Visualization: PowerBI, Tableau, JMP or similar
Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus. Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
This role offers the following Work Appropriately strategies:
Remote: The selected candidate can reside and perform the work from anywhere within the United States. Hybrid: This position does not require an employee to be onsite full-time to perform most effectively. The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
Relocation assistance is available to candidates who meet eligibility requirements.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Entry Level Masters Degree Data Scientist | General Motors |
Description
About GM
There’s never been a more exciting time to work for General Motors. To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.
Job Description
General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.
Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.
At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.
If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to learn more about our available positions and apply today!
We are looking for Data Science professionals who:
Have a steadfast drive for excellence Challenge themselves and their peers Enjoy working collaboratively in cross-functional teams Demonstrate a good work ethic Have a strong ability and willingness to learn Exhibit curiosity and are willing to explore new possibilities and solutions Understand advanced math and analytics concepts, and can apply them to real applications Desire to deliver innovative solutions to complex problems
Role – as a Data Scientist, you will be applying Modeling techniques to tackle complex business problems. They are responsible for building predictive models and machine-learning algorithms, analyzing large amounts of information to discover trends and patterns, and deploying analytical solutions, including visualizations and predictive models.
Additional Description
Requirements:
Education: Master’s degree – Mathematics, Computer Science, Statistics, Economics, Social Science, or other quantitative degree preferred Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus. Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
Technical Experience:
Language proficiency in Python, R, Spark, Scala Experience in big data tools and databases: Hadoop, TensorFlow, Greenplum, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra Data Visualization: PowerBI, Tableau, JMP or similar
This role offers the following Work Appropriately strategies:
Remote: The selected candidate can reside and perform the work from anywhere within the United States. Hybrid: This position does not require an employee to be onsite full-time to perform most effectively. The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
Relocation assistance is available to candidates who meet eligibility requirements.
PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN THE UNITED STATES NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Manager Data Science | General Motors |
Description
About OnStar Insurance
OnStar Insurance was launched in 2020 and will soon be available in all US states. We are disrupting auto insurance by integrating insurance into the vehicle experience from shopping to price to claims. This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion.
GM has the largest connected vehicle fleet worldwide with over 10M connected GM vehicles on the road in the US today. That number is projected to triple in the next 10 years. More than that, we currently have access to thousands of data points from and about the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance.
This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience powered by the largest connected vehicle fleet in the world. If you share our vision of making auto insurance fairer and more transparent, and increasing customer value through personalized experiences, then OnStar Insurance is the place for you! At OnStar Insurance, your contributions will directly impact the customer and achieving our mission.
Our Culture
Our goal at OnStar Insurance is to transform the auto insurance industry. Building an amazing culture for our associates is key to our success. We are focused on creating a culture that motivates and enables our diverse and talented associates to perform their best.
Job Description
As a data analytics professional at OnStar Insurance, your role is to drive business decisions from actionable insights. To accomplish these goals, you will frame data in terms of business questions, turn data into insights, and insights into actionable deliverables. You accomplish these goals by leveraging both strong business acumen and understanding of data. You are expected to be proficient in querying, investigating, transforming, analyzing, and visualizing a variety of types of data using a variety of analytical methods and tools. If you're passionate about technology, love to learn, enjoy collaborating cross-functionally, and are excited to work with marketing, operations, telematics, and claims data, this is a great opportunity to grow your skills and make a difference.
Prior analytics experience with personal lines insurance marketing, product, pricing/ratemaking, underwriting, claims, digital experience, and/or operations is a big plus. We also provide support for any candidates pursuing the Casualty Actuarial Society credential.
This is a remote position. The selected candidate can reside and perform the work from anywhere within the United States.
Develop and direct high-performing data scientists, data analysts, and data engineers through effective coaching and team development to achieve project deliverables; ensure excellent team culture while delivering on organization objectives Advise business and technology teams on the data and analytics components of product roadmaps Lead the design, development, and deployment of algorithms or other quantitative solutions Partner with architects and engineers to deploy and monitor solutions Apply strong understanding of data science techniques and libraries to business problems; research and champion new tools and technologies to enable our success Communicate model and algorithm results to business Monitor and sustain model effectiveness
Job Qualifications
Master’s degree or equivalent experience in data science, engineering, mathematics, statistics/applied statistics, economics, computer science or related quantitative field 5+ years demonstrated experience designing, developing and implementing predictive and prescriptive solutions 2+ years leading data science teams and projects Proficient with multiple statistical modeling, machine learning, deep learning, or data mining techniques Experience with big data technologies Experience with vehicle or mobile telematics data is preferred Familiarity with personal lines insurance operations is preferred Proficient with R or Python Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department Strong decision-making skills Works effectively in a distributed team environment
Additional Description
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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People Services Data Scientist | General Motors |
Description
This is a remote position, the selected candidate can reside and perform the work from anywhere within the United States.
Are you curious, innovative and love data? Do you enjoy analyzing complex problems and ideating innovative solutions?
Global Business Solutions (GBS) People Services organization (HR Operations) is looking to identify and unlock opportunities hidden in our people data to increase operational efficiency and deliver world class employee experiences. This person will analyze, grow, and create new data sources to identify trends and insights which are currently hidden. The person in this role will directly work with service line leaders (payroll & timekeeping, benefits, talent & learning, employee contact center) and strategic analytics team, to identify areas of exploration, analysis, and continuous improvement. By utilizing the power of data analytics and AI we aspire to set the standard for our employees and stakeholders.
This opportunity will provide exposure to interact with multiple levels of leadership across various business units while empowering you to leverage your expertise, knowledge of data analysis, data visualization and storytelling to provide data that supports decisions related to global workforce issues.
Apply your expertise in research, analysis, data science, and data visualization to identify insights and understand opportunities for improvement across all service lines Communicate analyses, machine learning approaches & results, and implications of efforts to non-technical audiences Experience conducting analytics or data science projects; project management; presenting analytics-based solutions and products Strong analytical, problem-solving, communication, and consulting skills Expertise using, Workday HCM, Power BI, Enterprise Data Warehouse (EDW), KNIME, Python and SQL to perform analysis and interpret data Use judgment to independently develop stakeholder focused solutions while seeking guidance as needed Experience working in start-up environment and ability to change direction as needed
Role Requirements
Bachelor’s Degree in Data Science, Computer Science, Statistics, Analytics or related field 4+ years of professional work in descriptive, predictive, and prescriptive analytics 4+ years proficiency in one or more core analytical tools/suites/languages such as Python, R, Spark, SAS, Scala and understand their limitations Proficient in analytical methodologies such as numerical optimization, modeling and forecasting, machine learning, text analytics, computer vision/pattern recognition 4+ years of experience collaborating with teams to develop data and analytics solutions
Preferred Requirements
Master’s degree 7+ years professional experience in data science related role
Additional Description
Compensation: The median level of salary compensation for this role is $98,856.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-Remote
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Senior Manager Data Science | 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 Sr. Manager 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 product, engineering, and other 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
Working 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 and help our business
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:
6+ years of relevant experience in data analytics, data science and/or machine learning. At least 4 years as an individual contributor and at least 2 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 total cash base compensation for this role is between $145,000 and $180,000/year with an annual bonus target of up to 15%. 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, OH, 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 Science Manager | Nextail |
We’re looking to add an experienced Data Science Manager to our Data Science team. This new team member will be instrumental in leading and developing data science solutions from the idea to maturity as we continue to make the retail world a better, more sustainable place.
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, of meritocracy, of caring and trusting each other.
You are:
Curious
Analytical
Business Oriented
Pragmatic
Methodical
Proactive
Committed
Autonomous (but you also like to ask for help)
Humble (but ambitious...)
Both team player and leader
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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Subsets and Splits