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Data Scientist Product Analytics | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Millions of people use Trello every day, generating billions of data points. We are looking for a knowledgeable data scientist to examine user behavior and advise decision-making across the organization.
You will reporting to the Trello Product Analytics team. We're a group of 10 data scientists who love to share insights with others. We are lean and remote-friendly and looking for someone with business instincts, creativity and analytics mastery, who is passionate about applying these skills to guide smarter product decisions and delight our customers.
You will ...
Work with other product leaders to identify high impact opportunities for analytics, and align analytics and data science priorities with the product strategyPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to intelligently improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including creating and analyzing experiments and product launchesEnvision, scope, and complete projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to multiple levels of leadership to guide important decisionsFoster an extraordinary 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 decisionsUnblock data questions using Redshift, Athena, Databricks, Python, R, Mode Analytics, Tableau.
About you ...
2+ years of experience working in product analytics or data scienceYou have experience analyzing data and experimentation in a business setting. You know how to pick the right approach to a data question. You know that sometimes the simplest solution is the best.You enjoy collaborating with non-technical consumers of data, and turning loosely-defined questions into prioritized projects.Experience deriving insights from data and telling a story.You're extremely proficient when it comes to writing SQL and Python/R.You aim to master new technology or language when the need arises.Experience working on projects around user acquisition, retention, purchasing drivers.
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Principal Data Scientist Confluence Enterprise Experience | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Product Analytics at Atlassian is an exciting and fast-growing space. At our core, we create value for both our customers and the business by understanding how and why our users use our products. We love to explore and have a lot of fun along the way.
We're hiring a Principal Data Scientist, reporting to the Principal Manager or Product Data Science.
What you'll do
You will manage a multi-area within Enterprise platform analytics, with the possibility of having direct reports in the futureYou will dig deep into both performance and API data and usage data to connect the dots together quickly and communicate insights in a way that persuades actionYou will have the opportunity to shape the product roadmapBuild relationships with strategy business operations to bridge the gap between the team's work to business metrics.You will look at product users to determine how engaged they are with the productPartner with product managers, design and engineers to measure product performance
Your background
5+ years of experience in an engineering/product performance/platform analytics environment.Understanding of front-end engineering practiceExpertise in SQL and experience in Splunk/SignalFxExperience with usage data creation process and experience partnering with engineering teams for data trackingTurn complex findings into a compelling narrative and a set of actionsExperience influencing decision-making using analyticsBackground in Engineering or quantitative subject (e.g. Mathematics, statistics, etc)
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Machine Learning Scientist | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist who is interested in improving the way that teams collaborate on Trello. You will be one of the pioneering ML experts in this area, and will shape the future of machine learning in Trello for years to come. You will work with product managers, designers, and other data scientists in Trello and the larger Atlassian company.
Your future team
The Core Machine Learning team at Atlassian is a centralized group of machine learning scientists and engineers. We partner with teams across Marketing, Growth, and Product to pursue machine learning applications that create revenue or product enhancements. We practice a remote-friendly work style, and we have team members located across multiple cities in both the US and Australia.
What you'll do
Translate product and customer requirements into a feature roadmapExplore ML applications and ideas for content recommendation, personalization, and insight generationBuild ML pipelines, models, and jobs at scaleShare vision and roadmap with partners in product, design, engineering, and data science
Your background
We'll expect you to haveBachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)2 or more years of industry or academic experience in the data science or machine learning domainExpertise in Python, SQL, or Spark and a working knowledge of version control tools (e.g. Git, Bitbucket)Explain data science and machine learning concepts to diverse audiences and create a compelling storyFamiliarity with deploying and monitoring machine learning modelsA curiosity to master new product domainsIt's Great, But Not Required, If You HavePrevious experience in a product-focused ML roleExperience with the following (Airflow, Databricks, Sagemaker, and Tensorflow / PyTorch)
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Analyst Product Research Analyst I Data Science | Liberty Mutual |
Job Summary:
The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The Individual Contributor role will report to the Safeco Auto Design manager, but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team.
Responsibilities:
Build complex loss cost models for Safeco Auto products to drive pricing and non-pricing sophistication
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level.
Please Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Job Specifications:
Reference: 2022-49662
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$69,400.00-–-$126,200.00-/-Year
Education Level:
Travel: As Needed
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Data Scientist | O Reilly | |
Staff Data Scientist | The Kraft Heinz Company |
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
WHAT YOU’LL DO
As a ‘Staff Sr. Manager - Data Scientist’ you will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Work with the data scientists on your team to develop, own, implement and deploy state of the art machine learning algorithms and other predictive models which will service as a guiding light for change and improvement. Work with your data science team and own selection, enhancements and integration of disruptive technologies (AI/ML, Automation, Optimization) focused on fundamentally transforming the way in which we operate. Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges. Coach other Data Scientists and Associate Data Scientists and drive technical best practices. Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges. Evangelize the value of data-driven decision-making. Hire and develop the best data scientists in the CPG industry Continue your growth and serve as a leading expert in the Data Science community.
WHO YOU ARE
You have a Bachelors in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience. Advanced degree in Data Science or related field ideal. You have mastery in Python and/or R and other languages. You have expertise in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries. You have experience building owning full cycle end to end model deployment. You have proven expertise in Big Data technologies such as Apache Spark, Snowflake and/or Hadoop. You have proven expertise in cloud technology like Azure, AWS, Cloudera, GC.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.
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Senior Data Scientist | The Kraft Heinz Company |
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
We are on a journey to create a digitally-powered, agile-enterprise. At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve the problem on hand. In-turn, you can look forward to high-impact challenges, no bureaucracy, entrepreneurial small teams and an unique opportunity to create and build something bold, awesome, and impactful!
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our forward-thinking, cross-functional teams – redefining from inside of a global powerhouse. You will help build our next generation of sophisticated analytics products using AI, Data Science, and Machine Learning. Examples of problems you will tackle include helping R&D resolve next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver detailed approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs.Build repeatable, interpretable, multifaceted, scalable models as the heart of new statistical products.Engineer new features by using your eye for business to improve analytical models.Collaborate to refine standard processes and deploy outstanding solutions.Promote the value of data-driven decision-making
Who you are
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have proficiency in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 3+ years of experience.You have expertise in Python and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.
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Data Scientist | The Kraft Heinz Company |
About Us
The Kraft Heinz Company is one of the largest food and beverage companies in the world, with eight $1 billion+ brands and global sales of approximately $25 billion. We’re a globally trusted producer of high-quality, great-tasting, and nutritious foods for over 150 years. Our brands are truly global, with products produced and marketed in over 40 countries. These beloved products include condiments and sauces, cheese and dairy, meals, meats, refreshment beverages, coffee, infant and nutrition products, and numerous other grocery products in a portfolio of more than 200 legacy and emerging brands.
No matter the brand, we’re united under one vision: To sustainably grow by delighting more consumers globally. Bringing this vision to life is our team of 39,000+ food lovers, creative thinkers, and high performers worldwide. Together, we help provide meals to those in need through our global partnership with Rise Against Hunger. We also stand committed to responsible, sustainable practices that extend to every facet of our business, our consumers, and our communities. Every day, we’re transforming the food industry with bold thinking and unprecedented results. If you share our passion – and are ready to create the future, build a legacy, and lead as a global citizen – there’s only one thing to do: join our table and let’s make life delicious!
Our Culture of Ownership, Meritocracy and Collaboration
We're not afraid to think differently. Embrace new ideas. Dream big. We empower our people at every level – from entry-level intern to senior leader – to own their work. We share a responsibility to think like Owners – to be mindful of the collective and sustained success of Kraft Heinz – which we apply to every situation, every day.
As part of Kraft Heinz, you're supported to grow and achieve. You’re expected to bring your authentic self to work every day, to lead with humility, and drive outstanding performance at every level – and you’ll be rewarded. You’re given opportunities to leave a mark and build a legacy. But you won’t do it alone. You’re supported by passionate teammates along the way, and our collective, collaborative spirit fuels our incredible progress.
Vaccination & Future of Work Expectations
Our highest priority is always the health and safety of our Kraft Heinz family. We require our office-based, home-based, R&D, and sales team members to be fully vaccinated against COVID-19, unless approved for a medical or religious accommodation. This will enable our transition to hybrid work while maximizing the wellbeing of our entire team.
We believe the office is a critical driver of innovation, connection and development, but also realize providing more flexibility to our employees is critical in this new world. Starting in January 2022, the majority of our salaried employees will be able to work virtually for up to two days each week to create a more agile and modern workplace. Some jobs may be required to be performed fully in person depending a role’s responsibilities and requirements.
General information
All posting locations:
N/A, Illinois, United States of America
Job Function:
16 - Digital
Department:
16 - 02 - Data Science
Date Published:
16-Aug-2022
Job Type:
Regular
Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our nimble, cross-functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs. Create repeatable, interpretable, dynamic, scalable models as the heart of new statistical products. Engineer new features by using your business acumen to improve analytical models. Collaborate to refine best practices and deploy best-in-class solutions. Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact [email protected] for assistance.
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Sr People Scientist | Limeade |
About us:
Limeade is an employee experience software company on a mission to transform work into a source of positivity, energy, humanity, and purpose. Founded in 2006, Limeade is a pioneer in the HR technology industry and is consistently recognized for its own award-winning culture. Today, Limeade solutions are used in approximately 100 countries around the globe. We help every employee know their company cares – and deliver people and business results that matter. Limeade partners with its customers to transform the overall employee experience by helping to improve employee well-being, engagement, and sense of inclusion – in addition to reducing the risk of unwanted turnover and burnout. To learn more, visit www.limeade.com (AXS listing: LME)
About the role:
TINYpulse by Limeade is looking for a People Scientist to join the Limeade Institute and help drive thought leadership in the Employee Engagement space. A successful People Scientist will use a customer-centric approach to build our assessment/advanced listening capability (e.g., author survey questions, curate our assessment library, integrate research) and lead survey-related communication efforts. The People Scientist will partner with our data teams and marketing professionals to explore our wealth of data and create compelling research pieces. We want someone who shares our passion for simplifying analytics. Simplicity and education empower clients to draw insights from data on their own. The People Scientist will form great relationships with Customer Success and Sales as we build our Premium Consultation Services.
Expectations for Success:
Content Strategy (30%):
Collaborate with customers to design and build people-centric advanced listening and people/talent management strategies.
Curate the suite of Questions and Assessments for our Content Library.
Contribute to survey-question and product feature design sessions.
Own the process for content creation and management.
Client Results Analysis (30%):
Explore client data to identify the most valuable themes and stories to help our clients improve their culture and business outcomes
Participate in results review sessions with clients; the audience typically includes HR Professionals and C-Level Executives
Partner with the People Team and our culture committees to continuously improve our culture
Limeade Institute (30%):
Integrate findings from research and analytics initiatives into internal product plans as well as client and marketing communications
Present research and client results through leadership to create internal and external thought leadership on HR issues in a variety of industries and regions
Support and build domain expertise for our Customer Success, Sales & Marketing teams through coaching and training
Continuous Learning (10%)
The People Scientist is expected to stay current with the latest industry developments. These may be in the fields of people analytics, organizational psychology, behavioral science or digital transformation, and/or the latest innovative customer programs. Continuous Professional Development will include attendance at industry conferences, regular review of journal articles, learning new skills or methodologies.
Requirements:
Ability to demonstrate our values in an on-going and consistent way.
Master's or PhD in Industrial-Organizational Psychology, Organizational Development, or HR/Business Analytics.
3+ years of applied research experience (primary, secondary) and writing reports, publications.
3+ years of applied experience working as an HRBP within an organization or consulting to organizations.
3+ years in data and analysis using large scale data sets; experience with R preferred, experience with SQL, Python, other analytical programming languages a plus.
At least 1 year of applied experience working with surveys throughout the employee lifecycle (candidate, onboarding, engagement, inclusion, exit) and/or 360-type feedback processes.
Experience designing, implementing and analyzing surveys, as well as presenting results to executives and HR leaders.
Performance management system implementation experience not necessary but preferred.
Strong presentation skills especially when explaining data and connecting it to potential actions.
Basic knowledge of statistics and experience using statistical packages such as R or SPSS; moderate knowledge of statistics and basic knowledge of predictive analytics techniques preferred.
A desire to learn and work with new technology.
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.
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|
Data Scientist I | Openx |
OpenX Technologies, Inc. is looking for a Data Scientist or Machine Learning Engineer to join our team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. This data volume demands sophisticated modeling and control to function efficiently and provide the best value for our customers.
We’re looking for data scientists who are interested in exploring novel solutions to difficult and high impact business problems. They will also develop new technologies and methodologies to enhance and complement projects nearing or in production as well as exploring difficult problems.
If you’re:Open-minded - happy to give & receive feedback, not afraid to fail and move onProactive - always want to find a satisfying solutionCreative - researching and developing a solution to challenging problems with large datasetsWe want to talk to you.
Key Responsibilities
Extract data from TB-scale datasets and transform it to compact representations which are amenable to use by a wide variety of models
Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
Guiding and developing DS / ML projects from inception to production-level deployment while reporting to stakeholders on progress and challenges
Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development
Required Qualifications & Skills
Familiarity with SQL and programming experience in Python
Experience developing predictive models with sizeable datasets
Strong track record of working in a team and contributing to project success
BA/BS in a quantitative field such as Computer Science, Statistics, Physics, Mathematics or related
Desired Qualifications & Skills
Prior experience in a data science or machine learning engineer role
Solid grasp of probability, statistics, and quantitative analysis
Experience working with a cloud platform like GCP / AWS / Azure
Experience with the Tensorflow / TFX platforms
Advanced degree (MS+) in one of the aforementioned fields
Effective Date: March 1, 2022
OpenX Applicant Privacy Policy
This privacy policy sets out how OpenX (collectively, "OpenX" or "we") uses and protects your personal data in order to evaluate your candidacy for a position with OpenX.
Your personal data is provided to our applicant tracking vendor in order to maintain records and keep track of your recruiting status and information.
We encourage you to read the whole policy because it provides important information on your rights, and our obligations, with respect to your data.
Data we collect
If you apply for a job with us, we will collect, use, and store personal data about you. To the extent permitted by law, this may include:
Data you provide to us directly:
We process personal data contained in the job application that you send to us and information that you provide during the recruitment process (specifically data contained in your CV and additional data provided during recruitment). Those may include:
● contact details (name, address, phone numbers, email, etc.);
● qualification details (such as information on your previous work experience or education);
● application information (such as expected income, type of job wanted or your availability);
● identification details (such as date of birth, passport number, nationality and residence, government ID numbers (e.g. Social Security Number), immigration status);
● any other data you submit to us, including any correspondence between you and OpenX exchanged during the application process;
● if you granted us your explicit, voluntary consent - demographic data (e.g. information about your race or ethnicity).
Data from other sources: Generally, we collect data directly from you when you respond to our job application. Sometimes, we obtain data about you from other sources, such as your previous employers (if you consent to us collecting references), recruiters, market research companies, identity verification providers, and information accessible on the Internet and third-party websites, including LinkedIn. If you have consented to background checks and/or where permitted by law, we may also collect details of professional registrations, sanctions with professional bodies, financial checks, or criminal convictions.
Automatically collected information: When you submit an application through the careers page on our website, we may automatically gather some information from your computer, mobile phone, or other device. This may include, but is not limited to, information such as your computer IP address, standard web log data, or browser type.
Why do we process your personal data and on what basis?
OpenX may access, use and store your personal data for the reasons set out below.
● Where this is necessary for OpenX to review and assess your application for employment. This may include:
o assessing your skills and interest in career opportunities at OpenX;
o processing your application;
o analyzing and verifying your qualifications;
o verifying your identity and your eligibility for employment; and
o communicating with you about your application, to respond to your inquiries and schedule interviews.
● Where necessary for OpenX's legitimate interests, as listed below, and where our interests are not overridden by your data protection rights. This may include:
o Conducting background checks, and in particular collecting details of professional registrations.
o Protecting our legitimate business interests and legal rights. This includes use in connection with legal claims, compliance, regulatory, auditing, investigative and disciplinary purposes (including disclosure of such information in connection with legal process or litigation) and other ethics and compliance reporting requirements.
o Maintaining the security and integrity of our facilities, equipment and electronic platforms. This includes administering access rights, monitoring compliance with company protocols, and where permitted by local law and in accordance with relevant policies, for investigations and disciplinary actions.
● Where necessary to comply with a legal obligation. This may include disclosures to law enforcement agencies or in connection with legal claims, or regulatory purposes (including disclosure of such information in connection with legal process or litigation).
● Where you have given consent. Please remember that you are never required to give consent whenever we ask for it. It’s always given on a voluntary basis. For example, we will ask for your consent to take part in future recruitment processes conducted by OpenX.We may also ask for your permission to conduct a criminal background check or ask you questions related to demographic information which help us support diversity and inclusion programs.
We may also process your personal data on the basis of consent as required in certain jurisdictions. For example, if you apply to a position in Poland, we may ask for your permission to check references from previous employers. Also, by providing us with certain data that we do not request from you (e.g., your photo), you give us your consent for their processing.
Disclosure to third parties
Where necessary for business purposes, we may share your personal information with the following OpenX affiliated companies listed here.
Personal information may be shared with government authorities and/or law enforcement officials if required for the purposes above, if mandated by law, or if required for the protection of OpenX's legitimate interests (such as for the purpose of pursuing claims and defence against claims) in compliance with applicable laws.
Personal data may also be shared with third party service providers who will process it on behalf of OpenX for the purposes described above. This will include, specifically, our applicant tracking vendor who provides software that helps us manage the applications.
Additionally, we may receive personal data about you from recruitment agencies. We may also share very limited information about you with such entities (e.g. your public social media profile on LinkedIn). Agencies that share data with us will act as separate data controllers and may have their own policies that govern how they collect and use your data. To fully understand how your data is being processed, you should always carefully read the privacy policy of a recruitment agency you engaged with.
If OpenX or any of its affiliated entities is sold or integrated with another business, your details may be disclosed to OpenX advisers and any prospective purchaser's adviser and will be passed to the new owners of the business.
Retention of your data
We will retain your personal data in a form that identifies you for no longer than is necessary for the purposes needed for the application.
If your application is successful, the information provided may be retained for purposes of your employment.
If it is not successful and you have provided us with consent to retain your data for future recruitment purposes, we retain your data for the period of 2 years after the end of the recruitment process for the position you last applied for.Without your consent for future recruitments, we will retain your personal information for a reasonable time (no longer than 1 year) after the end of the recruitment process for the position you last applied for, so that we can repeat the recruitment process if needed orto address any misunderstandings between us and you.
Use of Cookies
You most likely visited our website in order to apply for a job opening. On our website, we use cookies to collect information about your online activity. Cookies are small pieces of information sent by a web server to a web browser which allows the server to uniquely identify your browser on each page. To learn more about the categories of cookies that we use on our website please review our Cookie Policy.
Your Rights
For Applicants within the European Union
You have the right to ask OpenX to rectify, block or restrict access to, complete, and delete your personal data. You can also ‘port’ your personal data (that is, to ask us to provide it to you in a structured, commonly used and machine readable format and to transmit it directly to another organisation). You have the right to request access to your personal data and further information about the handling of your personal data.
In some circumstances you can also object to our processing of your data and, where we have asked for consent to process your data, at any time you may be able to withdraw that consent. Please note that withdrawing your consent will not impact the lawfulness of the processing before you withdrew the consent.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit.
However, there are exceptions to these rights. For example, access to personal data may be denied in some circumstances if making the information available would reveal personal information about another person or if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain data, even if you withdraw your consent, where OpenX can demonstrate that it has an alternative legal basis to process your data. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you have unresolved concerns, you have the right to complain to a data protection authority in the country where you live, where you work or where you consider that a breach of data protection has occurred. You’ll find contact details for your data protection authority here if you are an EEA based individual or here if you are a UK based individual.
We have carried out balancing tests for all the data processing we carry out on the basis of our legitimate interests. You can obtain information on any of our balancing tests by contacting us using the contact details set out below.
If you would like to exercise any of the rights listed above, please reach us here.
Transfer outside EEA
We operate globally, and in many cases need to transfer your personal data internationally, including to the United States and United Kingdom for the purposes outlined above. Your personal data will be transferred to and processed by your OpenX contracting entity.
When transferring personal data to countries outside the EEA, we comply with European Union law by using Standard Contractual Clauses approved by the European Commission or by adopting other adequate safeguards. A copy of the relevant mechanism can be obtained for your review on request by using the contact details below.
For Applicants within the United States
Depending on the jurisdiction in which you live, you may have the right to ask OpenX to delete certain of your personal data, correct inaccurate personal data, and provide you with access to your personal data.
OpenX does not share or sell personal data collected from applicants for valuable consideration.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit. OpenX will never discriminate against you for exercising your data subject rights.
However, there are exceptions to these rights. For example, access to your personal data may be denied in some circumstances if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain your personal data, even if you request that it delete such data, where OpenX can demonstrate that it has a legal obligation to retain it or is otherwise entitled to do so. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you would like to exercise any of the rights listed above, please reach us here or at (855) 231-3834.
Updates to this Privacy Notice
This privacy notice may be updated periodically to reflect changes in our data practices. We will post a notice on our applicable websites, applications or materials to advise of any significant changes to our Privacy Notice and indicate in the notice when it was most recently updated.
Contact Us
The data controller, business, or equivalent entity that controls how your data will be processed is the OpenX entity to which you apply. A list of all OpenX affiliated entities is available here.
If you have a privacy question, concern or request, please contact our Data Protection Officer at [email protected] or reach us here.
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Senior Data Scientist | Openx |
OpenX Technologies, Inc. is looking for a Senior Data Scientist or Machine Learning Engineer to join our team in the Data Science Org. Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. This data volume demands cutting-edge applications of sophisticated models, deep learning, and novel platforms to function efficiently and provide the best value for our customers.
We’re looking for data scientists who are experienced with systems that blend deep learning, optimization, and statistical insights to achieve the best possible business outcomes. The ideal candidate has a creative mind which they put to use by constructing models tailored for prediction with high dimensionality data sets — we are looking for those who can translate requests from business and product into Data Science / ML problems. They should also be capable of leading and executing on those projects with state-of-the-art advances from the literature while incorporating them into production systems.
If you’re:
Proactive - always want to find a satisfying solution
Persistent - exhibit the skills and attitude to lead a project to success and how to extract yourself from common pitfalls
Creative - researching and developing a solution to challenging problems with large datasets
We want to talk to you.
Key Responsibilities
Extract data from TB-scale datasets and transform it to compact representations which are amenable to use by a wide variety of models
Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
Guiding and developing DS / ML projects from inception to production-level deployment while reporting to stakeholders on progress and challenges
Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development
Required Qualifications & Skills
Ph.D. in Computer Science, Physics, Mathematics, Operations Research or related technical field with 4+ years of relevant experience, or MS with 7+ years of relevant experience
Proficiency in SQL and programming experience in Python
Extensive experience with deep learning and other ML techniques beyond linear regression, particularly in the context of tensorflow and its related applications / environment
Strong track record of nurturing DS / ML projects to maturity with maximal business impact
Mastery of probability and statistics, especially techniques that scale to massive datasets
Strong communication and presentation skills — proficient in analysis and summarization of the key points of a data set or experiment result
Desired Qualifications & Skills
Experience working with a cloud platform like GCP / AWS / Azure, with emphasis on GCP and the Tensorflow / TFX platform
Experience providing mentorship and guidance to more junior employees
Effective Date: March 1, 2022
OpenX Applicant Privacy Policy
This privacy policy sets out how OpenX (collectively, "OpenX" or "we") uses and protects your personal data in order to evaluate your candidacy for a position with OpenX.
Your personal data is provided to our applicant tracking vendor in order to maintain records and keep track of your recruiting status and information.
We encourage you to read the whole policy because it provides important information on your rights, and our obligations, with respect to your data.
Data we collect
If you apply for a job with us, we will collect, use, and store personal data about you. To the extent permitted by law, this may include:
Data you provide to us directly:
We process personal data contained in the job application that you send to us and information that you provide during the recruitment process (specifically data contained in your CV and additional data provided during recruitment). Those may include:
● contact details (name, address, phone numbers, email, etc.);
● qualification details (such as information on your previous work experience or education);
● application information (such as expected income, type of job wanted or your availability);
● identification details (such as date of birth, passport number, nationality and residence, government ID numbers (e.g. Social Security Number), immigration status);
● any other data you submit to us, including any correspondence between you and OpenX exchanged during the application process;
● if you granted us your explicit, voluntary consent - demographic data (e.g. information about your race or ethnicity).
Data from other sources: Generally, we collect data directly from you when you respond to our job application. Sometimes, we obtain data about you from other sources, such as your previous employers (if you consent to us collecting references), recruiters, market research companies, identity verification providers, and information accessible on the Internet and third-party websites, including LinkedIn. If you have consented to background checks and/or where permitted by law, we may also collect details of professional registrations, sanctions with professional bodies, financial checks, or criminal convictions.
Automatically collected information: When you submit an application through the careers page on our website, we may automatically gather some information from your computer, mobile phone, or other device. This may include, but is not limited to, information such as your computer IP address, standard web log data, or browser type.
Why do we process your personal data and on what basis?
OpenX may access, use and store your personal data for the reasons set out below.
● Where this is necessary for OpenX to review and assess your application for employment. This may include:
o assessing your skills and interest in career opportunities at OpenX;
o processing your application;
o analyzing and verifying your qualifications;
o verifying your identity and your eligibility for employment; and
o communicating with you about your application, to respond to your inquiries and schedule interviews.
● Where necessary for OpenX's legitimate interests, as listed below, and where our interests are not overridden by your data protection rights. This may include:
o Conducting background checks, and in particular collecting details of professional registrations.
o Protecting our legitimate business interests and legal rights. This includes use in connection with legal claims, compliance, regulatory, auditing, investigative and disciplinary purposes (including disclosure of such information in connection with legal process or litigation) and other ethics and compliance reporting requirements.
o Maintaining the security and integrity of our facilities, equipment and electronic platforms. This includes administering access rights, monitoring compliance with company protocols, and where permitted by local law and in accordance with relevant policies, for investigations and disciplinary actions.
● Where necessary to comply with a legal obligation. This may include disclosures to law enforcement agencies or in connection with legal claims, or regulatory purposes (including disclosure of such information in connection with legal process or litigation).
● Where you have given consent. Please remember that you are never required to give consent whenever we ask for it. It’s always given on a voluntary basis. For example, we will ask for your consent to take part in future recruitment processes conducted by OpenX.We may also ask for your permission to conduct a criminal background check or ask you questions related to demographic information which help us support diversity and inclusion programs.
We may also process your personal data on the basis of consent as required in certain jurisdictions. For example, if you apply to a position in Poland, we may ask for your permission to check references from previous employers. Also, by providing us with certain data that we do not request from you (e.g., your photo), you give us your consent for their processing.
Disclosure to third parties
Where necessary for business purposes, we may share your personal information with the following OpenX affiliated companies listed here.
Personal information may be shared with government authorities and/or law enforcement officials if required for the purposes above, if mandated by law, or if required for the protection of OpenX's legitimate interests (such as for the purpose of pursuing claims and defence against claims) in compliance with applicable laws.
Personal data may also be shared with third party service providers who will process it on behalf of OpenX for the purposes described above. This will include, specifically, our applicant tracking vendor who provides software that helps us manage the applications.
Additionally, we may receive personal data about you from recruitment agencies. We may also share very limited information about you with such entities (e.g. your public social media profile on LinkedIn). Agencies that share data with us will act as separate data controllers and may have their own policies that govern how they collect and use your data. To fully understand how your data is being processed, you should always carefully read the privacy policy of a recruitment agency you engaged with.
If OpenX or any of its affiliated entities is sold or integrated with another business, your details may be disclosed to OpenX advisers and any prospective purchaser's adviser and will be passed to the new owners of the business.
Retention of your data
We will retain your personal data in a form that identifies you for no longer than is necessary for the purposes needed for the application.
If your application is successful, the information provided may be retained for purposes of your employment.
If it is not successful and you have provided us with consent to retain your data for future recruitment purposes, we retain your data for the period of 2 years after the end of the recruitment process for the position you last applied for.Without your consent for future recruitments, we will retain your personal information for a reasonable time (no longer than 1 year) after the end of the recruitment process for the position you last applied for, so that we can repeat the recruitment process if needed orto address any misunderstandings between us and you.
Use of Cookies
You most likely visited our website in order to apply for a job opening. On our website, we use cookies to collect information about your online activity. Cookies are small pieces of information sent by a web server to a web browser which allows the server to uniquely identify your browser on each page. To learn more about the categories of cookies that we use on our website please review our Cookie Policy.
Your Rights
For Applicants within the European Union
You have the right to ask OpenX to rectify, block or restrict access to, complete, and delete your personal data. You can also ‘port’ your personal data (that is, to ask us to provide it to you in a structured, commonly used and machine readable format and to transmit it directly to another organisation). You have the right to request access to your personal data and further information about the handling of your personal data.
In some circumstances you can also object to our processing of your data and, where we have asked for consent to process your data, at any time you may be able to withdraw that consent. Please note that withdrawing your consent will not impact the lawfulness of the processing before you withdrew the consent.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit.
However, there are exceptions to these rights. For example, access to personal data may be denied in some circumstances if making the information available would reveal personal information about another person or if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain data, even if you withdraw your consent, where OpenX can demonstrate that it has an alternative legal basis to process your data. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you have unresolved concerns, you have the right to complain to a data protection authority in the country where you live, where you work or where you consider that a breach of data protection has occurred. You’ll find contact details for your data protection authority here if you are an EEA based individual or here if you are a UK based individual.
We have carried out balancing tests for all the data processing we carry out on the basis of our legitimate interests. You can obtain information on any of our balancing tests by contacting us using the contact details set out below.
If you would like to exercise any of the rights listed above, please reach us here.
Transfer outside EEA
We operate globally, and in many cases need to transfer your personal data internationally, including to the United States and United Kingdom for the purposes outlined above. Your personal data will be transferred to and processed by your OpenX contracting entity.
When transferring personal data to countries outside the EEA, we comply with European Union law by using Standard Contractual Clauses approved by the European Commission or by adopting other adequate safeguards. A copy of the relevant mechanism can be obtained for your review on request by using the contact details below.
For Applicants within the United States
Depending on the jurisdiction in which you live, you may have the right to ask OpenX to delete certain of your personal data, correct inaccurate personal data, and provide you with access to your personal data.
OpenX does not share or sell personal data collected from applicants for valuable consideration.
All requests will be dealt with at the earliest opportunity and any delay will be kept to a minimum. In any event, we will not exceed the statutory time limit. OpenX will never discriminate against you for exercising your data subject rights.
However, there are exceptions to these rights. For example, access to your personal data may be denied in some circumstances if OpenX is legally prevented from disclosing such information. In addition, OpenX may be able to retain your personal data, even if you request that it delete such data, where OpenX can demonstrate that it has a legal obligation to retain it or is otherwise entitled to do so. We will inform you of relevant exemptions we rely upon when responding to any request you make.
If you would like to exercise any of the rights listed above, please reach us here or at (855) 231-3834.
Updates to this Privacy Notice
This privacy notice may be updated periodically to reflect changes in our data practices. We will post a notice on our applicable websites, applications or materials to advise of any significant changes to our Privacy Notice and indicate in the notice when it was most recently updated.
Contact Us
The data controller, business, or equivalent entity that controls how your data will be processed is the OpenX entity to which you apply. A list of all OpenX affiliated entities is available here.
If you have a privacy question, concern or request, please contact our Data Protection Officer at [email protected] or reach us here.
|
Principal Machine Learning Scientist | Godaddy |
Location
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or off-sites. Your hiring manager can share more about this role’s hybrid or remote designation.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join Our Team
GoDaddy is investing heavily in machine learning, and the GDML team supports this effort through both modeling and development of GoDaddy’s modeling platform. We’re looking for an experienced ML practitioner/developer to help us build something great.
What you'll get to do...
Solve impactful, web-scale ML problems and take the solutions from planning to production.
Ideate and implement advanced ML solutions like domain-specific embeddings, custom featurization, and customized language models.
Build a great company-wide ML platform that enables other data scientists and ML engineers to train, validate, deploy, and monitor ML
Mentor teammates in advanced ML and ML engineering practices
Engage with engineering leadership across GoDaddy to define development and production processes for ML creation and deployment.
Recommend architectural patterns to other teams; e.g., consult on the architectural design of ML pipelines for collecting data for ML training and inference.
Collaborate with a distributed team, including pairing, code reviews, identifying opportunities for code refactoring, and defining best practices.
Your experience should include...
7+ years of experience with Machine Learning and Software Engineering
Experience designing and building a platform or libraries for engineers.
Experience with Python, AWS, and CICD platforms (such as GH Actions, Jenkins, Travis, CircleCI, etc.)
Experience with ML Models in production environment
An understanding of the machine learning development lifecycle.
Experience and desire to mentor engineers on best practices and code craftsmanship.
Experience in an Agile software development environment.
You might also have...
Experience designing, building, and shipping backend systems with multiple tiers, including API, caching, and data access layers.
Experience designing data ETL pipelines. Experience using big data related technologies such as Spark, Airflow, and EMR.
We've got your back... Enjoy our many benefits (My Wallet), including paid time off, 401k, equity grants and parental leave. Join one of our employee resource groups (Culture). Continue to have a side hustle, if you have one (we love entrepreneurs, remember?). Most importantly, come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)
GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, creed, sex, sexual orientation, gender, gender identity or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at [email protected].
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Job ID R015743
GoDaddy's compensation is local to where you are and may vary based on an individual's qualifications at the time of the offer. The anticipated annual base salary ranges for select locations are listed below:
Seattle, New York City - $156000.00 to $195000.00
Colorado, Washington State - $133500.00 to $167000.00
Apply NowApply Later
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Senior Machine Learning Scientist | Godaddy |
Location
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or off-sites. Your hiring manager can share more about this role’s hybrid or remote designation.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Hybrid-or-Remote: This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for designation.
Join Our Team
Our team is a part of the Worldwide Engineering organization within GoDaddy, and we are looking to hire a Senior Machine Learning Scientist/Applied Researcher experienced with NLP/NLU to join our ML/AR team. Our goal is to build and grow a community of ML scientists and engineers to learn, share, and grow. We are committed to understanding all major business units, and we thrive on empowering business results by leveraging state-of-the-art ML algorithms.
This core Machine Learning/Applied Research team utilizes large-scale data to power various business areas, and a primary goal is to enhance the effectiveness of our team of customer care and sales partners with ML solutions like the self-service chatbot, a customer-centered case management system, and a configurable dynamic routing system to connect our customers with the team member who can answer their questions.
Your contributions will affect millions of customers and have a direct impact on our business results. Our team's challenges include deriving value from sparse data, understanding large scale shopping data to extract and retrieve information, and developing best practices to create the best customer experience and highest customer engagement. GoDaddy has deep and rich data sets, many still untapped, and your real passion for the cutting-edge machine learning algorithms has the power to unlock tangible business growth.
What you will get to do…
You can articulate and understand a business problem, identify challenges, formulate the ML/NLP problem and provide/prototype solutions
You will provide technical leadership, identify, and understand key business challenges and opportunities, and develop end-to-end software solutions using ML/NLP.
You will collaborate extensively with internal partners, program & product management, and engineering teams to ensure that solution meets business needs, emits valid inferences, and is functionally feasible
You will collect and process large volumes of data and build new and improved techniques and/or solutions for data collection, management, and usage
You will communicate results in a comprehensible manner to all levels of the company (field teams up to Senior Management)
You will brainstorm and share knowledge with other team members
Your experience should include…
• MS in machine learning, computer science, or equivalent quantitative field with at least 2 years of industry experience, or PhD in same fields• A background in both machine learning/NLP and software development; hands-on Deep Neural Network experience is preferred• Strong algorithm design and programming skills in at least one low level language like C++/Java, and scripting languages like Python/R/Scala• Experience with distributed computing (Hadoop/Spark)• Passion for solving interesting and meaningful real-world problems using principled techniques and practices• Experience working with live data (data cleaning, data visualization, and modeling)• Passion for collaboration and teamwork• Experience documenting, synthesizing, and communicating results
Your experience may include…
Hands-on experience with Google Dialogflow, Live Engage, Kore.ai, or similar chatbot tools
Defining or implementing chatbot and conversation design best practices
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)
GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information or any other basis prohibited by applicable country or local laws.
If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at [email protected].
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Job ID R016523
GoDaddy's compensation is local to where you are and may vary based on an individual's qualifications at the time of the offer. The anticipated annual base salary ranges for select locations are listed below:
Seattle, New York City - $128000.00 to $160000.00
Colorado, Washington State - $113500.00 to $142000.00
Apply NowApply Later
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Manager Data Science And Analytics | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
Builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning, and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Data Science Manager, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Manage, hire, train, and develop a group of data scientists and analysts
Participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships and facilitate data-driven decision making across the organization
Build statistical and predictive models, reports, and dashboards to support business and achieve goals
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
6+ years of real-world industry experience in building predictive and statistical models including regression, classification, forecasting, and clustering
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods
Ability to translate high-level business objectives into actions
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus
Bonus Points:
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology, and problem-solving
You're familiar with our product and have some ideas on things you'd want to add or change!
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 50% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Sr Data Scientist International Growth Market Insights | Reddit |
Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
The International Growth team is a tight-knit, true zero-to-one team at Reddit focused on entering markets outside of the US. If delving into different countries and cultures excites you and you’re motivated by how they might use the 4th most popular website in the world, then you’ve found the right place! We have one of the highest user:employee ratios in the industry, giving you a tremendous opportunity for scope and impact.
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:
You will partner directly with our local market as well as content curation teams to help surface key first party data points in a country and drive a holistic picture of what is happening in a market. This may include surfacing key user demographics and valuable segments, an overview of the growth and content funnels, visibility on key insights related to the content distribution, supply and demand (topics, language, etc) of a given geography, etc. You’ll also work collaboratively with other Data Science and Machine Learning teams such as Marketing Data Science and Content Analytics to evaluate the performance of in-market actions and to leverage their assets (automated content classification, etc). You will be part of key decisions to drive user centricity and accelerate user growth abroad.
What You’ll Achieve:
Partner with local market teams to surface key insights and analytical findings that will help accelerate growth in a specific country
Deliver key dashboards for local teams to scale data findings and unlock the ability for key regions to make timely decisions
Work cross functionally with Content Analytics and Marketing Data Science teams to elevate insights that can inform future country-specific marketing strategies (content and community creation, local campaigns, etc.)
Be the expert on country-level metrics around growth metrics and user segmentation
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Who You Might Be:
6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Experience working with Market Directors, Content Curation, or Marketing teams preferred
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
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.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
#LI-NH1 #LI-Remote
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Sr Data Scientist Ads Marketplace Analytics | Reddit |
We are looking for a senior level Data Scientist to work with our Ads product team. You will partner closely with cross functional team leaders such as GPMs, EMs and leadership in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.
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:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data science team, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there are still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:
You will partner with colleagues who have a wealth of experience in online advertising and social networking industries. You will be an integral part of the growth of the Reddit Ads Platform by playing a key role in making data-driven recommendations. You’ll leverage petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
What You’ll Do:
Build the metrics platform for the Reddit advertising business, including defining metrics, developing dashboards, building ETL processes, and establishing monitoring and alerts.
Help drive the bi-weekly operational review for Ads leadership team.
Conduct in-depth analyses across multiple dimensions to assess the health of the Reddit Ads marketplace and to help shape the strategic direction of Reddit Ads.
Work across all Reddit teams supporting the advertising business, including Product, Data Warehousing, Machine Learning, Sales, Finance, and Marketing.
Contribute actively to build up the knowledge base both within the Ads organization and the wider Data organization.
Who You Might Be:
5+ years of experience in a data analytics or related quantitative role.
2+ years of experience in an advertising platform such as (but not limited to) Google Ads, Facebook Ads, Twitter Ads, or Pinterest Ads.
Understanding of experimentation and A/B testing principles.
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit.
Strong ability to communicate and discuss complex topics with technical & non-technical audiences.
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python).
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker).
#LI-Remote #LI-NH1
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Senior Data Scientist Experimentation | Reddit |
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a Senior Data Scientist to lead our Data Science efforts on Experimentation and to partner with our Engineering team to drive and implement the vision of Experimentation at Reddit.
Our Experimentation Platform has been used by our Product and Engineering teams to run thousands of experiments in order to ensure that we fully understand our users and create the best possible experiences, as well as to roll out thousands of features in a safe and trustworthy way. In 2021, we rapidly scaled our Experimentation team and are quickly turning the platform into a world-class framework, capable of even greater scale and effectiveness.
As a Senior Data Scientist for Experimentation you will join a small but growing team and will be pivotal in driving company-wide innovation and rigor, shaping our metrics strategy, and building a strong experimentation culture. The opportunity for impact will be great as you enhance the success and understanding of our products across our diverse and growing user base.
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. As the 6th largest site on the internet Reddit has a dramatic scale but at 1000+ employees you won’t be stuck making small incremental gains on enterprise systems. You will create organization-wide capabilities to run more advanced experiments and create publication quality research, leverage complex testing and optimization algorithms to grow revenue, and produce more robust results faster to help teams increase their velocity and effectiveness.
What You’ll Learn:
You will partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In particular, you’ll be exposed to and drive adoption of a variety of new techniques in modeling, experimentation, statistical frameworks, and causal inference.
What You’ll Do:
Be the main point of contact for Data Science / statistics of experimentation, creating and implementing the roadmap for the stats engine of Reddit’s Experimentation Platform, providing guidance on experiment design, execution, analysis, and metrics across the entire company.
Apply modeling (advanced statistical methods, machine learning) to improve the accuracy of our experimental results (e.g. variance reduction techniques such as CUPED).
Be responsible for platform-wide Data Science process & analyses, defining company-wide experiment processes (delegation of authority when certain metrics are impacted, etc.), communicating good experimentation best practices and setting the standard for experiment design for the entire organization.
Ensure high-quality and trustworthy experiment results and ensure that experimental designs lead to action.
Collaborate with multiple engineers/product teams across the whole company to find technical solutions to complex experiment design challenges.
Develop and adopt statistical methods that help Reddit teams better measure their feature areas, as well as the toolset to help experimenters understand the “why” behind what they are seeing in their experiments.
Perform meta-analysis on experiments to understand macro trends in our product ecosystem and to understand the health of experiments for the company as a whole.
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 experiment design and/or A/B testing at scale
Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc.
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
#LI-Remote #LI-NH1
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Data Scientist | Lokavant |
About the Opportunity
Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that.
We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models.
Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.
Key Responsibilities
Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling.
Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements.
Work with data, such as data cleaning, transformation, extraction and loading (ETL), to prepare datasets for further analysis and modelling.
Perform exploratory data analysis, evaluate datasets for business values, and produce easy-to-understand visualizations highlighting key insights.
Use a variety of machine learning techniques to solve product focused business problems.
Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process.
Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy.
Mentor and be mentored by data scientists of varied experience levels and subject matter areas.
Minimum Requirements
3+ years of relevant experience in an analytical role involving data science and statistical modeling
High proficiency in Python and SQL. Bonus points for R, or other scripting languages.
Experience applying advanced statistical models to real world business problems.
Bonus points for experience building data models, and a solid understanding of the “modern data stack”.
Bonus points for experience with Looker, Tableau or other BI visualization tools.
Exceptional written and verbal communication skills.
Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills.
Ability to work as part of a collaborative cross-functional team in a fast-paced environment.
Minimum holding a Master’s degree or above with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field.
Preferred (Nice-to-have) Qualifications
Experience in the life sciences industry
Experience with healthcare data, ideally clinical/operational clinical trial data
Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)
Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)
Salary Range
$115,000 - $120,000
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Staff Data Scientist | John Deere |
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identify or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Iowa - Urbandale
Function: Data & Analytics (CA)
Title: Staff Data Scientist-Remote
Onsite/Remote:Remote Position
Your Responsibilities
As a Staff Data Scientist for John Deere’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. As a Staff Data Scientist, you will be responsible for helping to lead and mentor other junior and mid-level scientists. Something such as this will help folks in the marketplace to understand the leveling of the role. You will:
Project level responsibility over initiatives that involve mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.
Lead the establishment and prioritization of relevant Engineering action items needed to ensure data is stored efficiently and can support the required analytics.
Manage yourself and up to several other employees in an Agile work environment that contains requirement ambiguity, tight deadlines, and competing priorities.
Work directly with stakeholders to define, quantify, and analyze Key Performance Indicators that define successful customer outcomes for your efforts.
What Skills You Need (Required skills/experiences)
Mastery of and ability to mentor others in developing production-ready models in Python.
Solid ability to mentor others in using one or more data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
Expertise and ability to mentor others in building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Demonstrated competency with Visualization tools such as Tableau, PowerBI, DataStudio, etc.
Demonstrated competency with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Professional level communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes.
What Makes You Stand Out (Desired skills/experiences)
Demonstrated experiencing working with other languages such as R, JavaScript, Scala, etc.
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Familiarity working with and modeling some of the largest distributed datasets in the world
Demonstrated ability to work with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Demonstrated ability creating simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Demonstrated ability leading model validation, measuring model bias, measuring model drift, etc.
Demonstrated ability to collaborate with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Education
Ideally you will have a degree or equivalent related work experience in the following:
Experience equivalent to 10 years in a related field or
Having a Doctorate degree in a related area of study (e.g., Data Science, Quantitative Sciences, Statistics, Engineering, Mathematics, etc.) and 3 years of relevant work experience or
Having a Master’s degree in a related area of study and 5 years of relevant work experience or
Having or a Bachelor’s degree in a related area and 7 years of relevant work experience
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Benefit Pension)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extend authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried and Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.
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Senior Data Scientist | John Deere |
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identify or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Iowa - Urbandale
Function: Data & Analytics (CA)
Title: Senior Data Scientist-Remote
Onsite/Remote:Remote Position
Your Responsibilities
As a Senior Data Scientist for John Deere’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. You will:
Use data mining techniques to analyze high resolution machine and agronomic data in the development and testing of production-ready predictive models.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.
Develop and deliver insights and recommendations from precision agriculture data for product stakeholders
Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
What Skills You Need
Demonstrated competency in developing production-ready models in Python.
Demonstrated competency in using one or more data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
Demonstrated competency in building machine learning models such as regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc.
Experience with Data Modeling techniques such as normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, present results, and to effectively take notes.
What Makes You Stand Out
Additional experience with other languages such as R, JavaScript, Scala, etc.
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Familiarity with distributed datasets
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Experience with model validation, measuring model bias, measuring model drift, etc.
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Education
Experience equivalent to 10 or more years in a related field or
Having a Doctorate degree in a related area of study (e.g., Data Science, Quantitative Sciences, Statistics, Engineering, Mathematics, etc.) and 1 year of experience or
Having a Master’s degree in a related area of study and 3 years of relevant work experience or
Having or a Bachelor’s degree in a related area and 5 years of relevant work experience.
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Benefit Pension)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extend authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried and Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.
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Data Scientist | Fast Radius |
We believe manufacturing is important not only for what it makes, but for what it makes possible for the world. Manufacturers have an important job to do, and it is our job to provide them with the technology and expertise they need through the entire production process, from discovery and design to manufacturing and fulfillment.
What we are looking for:
As a Data Scientist you will be building models and tooling as part of the manufacturing platform Fast Radius is creating. The key concerns of the data science team range from predicting the cost of parts to helping plan and schedule factory capacity to solving optimization problems around sales and marketing efforts. You'll play a key role in technical decisions, own the end-to-end implementation, and help internal and external consumers understand your output and reasoning.
Responsibilities & Outcomes:
Work across teams to understand problem requirements and turn them into proper features and models
Develop and maintain infrastructure around model training and model APIs, including ownership of performance
Advise analysts and non-technical teams on issues where data science can make an impact
Qualifications:
4+ years of professional experience in the following areas:
Standard machine learning techniques (random forests, boosted learning, SVMs, etc.)
Familiarity with standard statistical and uncertainty analysis
Familiarity with mechanical engineering processes, including additive, is also a plus
Python or Scala, and SQL
Experience working across functions, including nontechnical departments to gather requirements and ensure understanding
Who we are: We believe manufacturing is important not only for what it makes but for what it makes possible for the world. Our first-of-its-kind Cloud Manufacturing Platform™ represents a new, more sustainable infrastructure to design, make, and move physical goods in the digital age. Working with companies across a variety of industries – from growing startups to Fortune 500 companies – Fast Radius helps customers with all stages of the manufacturing process from new product development to ongoing part production. We recently became a publicly listed company as the next step in scaling our vision for the future of design, manufacturing, and logistics. Every day you can expect to work in an inclusive environment that makes excellence possible, where great work and ideas matter more than seniority. We believe in experimenting fearlessly and learning from our failures—quickly. Our leaders have grown successful companies before, and they understand that businesses thrive when capable people have the freedom to solve problems without constraints.
What we offer: We want you to come to work happy, healthy, and balanced so you can expect excellent benefits:
- Competitive compensation and bonus structure
- Comprehensive health care including dental and vision
- Generous vacation policy as well as a 401K plan
Fast Radius is proud to be an equal opportunity employer because diverse perspectives make for better products, better processes, and a better company. We encourage applicants from all backgrounds regardless of race, color, religion, sex, sexual orientation, gender identity/expression, national origin, ethnicity, age, disability, Veteran status, or other protected status.
Fast Radius currently is unable to sponsor or transfer visas.
We are currently able to hire residents in the following states: AL, AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, KY, MA, MD, MI, MN, NH, NJ, NY, NC, OH, OR, TN, TX, WA, WV, WI
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Data Scientist | Bright Health |
SCOPE OF ROLE
Data Scientists at Bright work with teams across the organization to design and build data-driven solutions. Bright Data Scientists will use advanced analytics to enhance Bright’s health intelligence platform: improving member health, increasing affordability, and making care simpler and more personal. Examples of DS initiatives include:
Building predictive models for early identification and population stratification
Optimizing targeting for clinical programs
Developing metrics for measuring healthcare quality, outcomes, and network performance
Though individual contributors, Data Scientists must have strong leadership capabilities and experience working in a matrixed environment, with the ability to drive successful development of analytics that support multiple needs throughout a complex and growing organization.
ROLE RESPONSIBILITIES
Build, maintain, monitor, and improve machine learning (ML) models to solve business problems
Collaborate with technology teams (e.g. Data Engineering) to deploy solutions into production environments
Operate in an evolving data environment with a mixture of stable/traditional and new/nontraditional data sources
Work with business stakeholders and members of Product team to identify and evaluate data science opportunities and develop project plans
MINIMUM QUALIFICATIONS
Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, etc.)
Four (4)+ years of progressive data analytics experience
Highly proficient transforming data with SQL
Highly proficient building machine learning models with Python (numpy, pandas, scikit-learn)
Highly proficient using descriptive and inferential statistics to analyze datasets
Strong written and verbal communication skills
PREFERRED QUALIFICATIONS
Experience building models with deep learning libraries (Tensorflow, Pytorch)
Experience transforming large datasets with Spark (PySpark, Scala)
Experience with business intelligence tools (e.g. PowerBI)
Experience working with healthcare data, specifically medical and pharmacy claims
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Data Scientist | Tendo |
The Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. This role is expected to access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for the health system. The Data Scientist develops, maintains, and enhances reports that inform internal team members and clients of the performance in several areas including, but not limited to quality, risk, and operational efficiency. In addition, the Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Responsibilities
Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
Develop analytic data sets and use statistical software to analyze data sets as requested.
Use third party software tools in development of queries and visualizations.
Coordinate with different functional teams to implement models and monitor outcomes.
Requirements
Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, or equivalent technical experience.
Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
3+ years of experience in data analysis software, with data science experience preferred.
3+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
Knowledge of statistical and data mining techniques: GLM/regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Demonstrated proficiency writing SQL stored procedures or queries.
Strong problem-solving skills with an emphasis on data analytics.
Excellent written and verbal communication skills for coordinating across teams.
Nice to Have
Experience in the healthcare setting preferred.
Experience with Epic EMR data preferred, but not required.
Experience with healthcare financials/claims preferred, but not required.
#LI-Remote
#LI-DNI
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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Senior Data Scientist | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
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Senior Manager Data Science | Clickup |
Our mission is to build a work platform that saves people time by making the world more productive. Check out our customer stories on how we have enabled thousands of customers to save one day every week!
ClickUp is looking for an exceptional data science leader to own data science exploration and model building at ClickUp. You are an experienced technical leader in leveraging data science and machine learning to create operational efficiencies and drive ROI for a high growth technology company. You thrive when leading a team that collaborates as a community and is distributed across the globe. You are comfortable scaling people, technical capabilities, and processes of a team.
The Role
Lead a team of machine learning engineers, data scientists, and data program managers to deliver operational ML models for marketing, sales, support, product, and engineering stakeholders
Lead the design and implementation of Machine Learning solutions for ClickUp’s operational and product challenges.
Manage the insights and growth experimentation product analytics team to uncover product insights and growth levers for product managers
Build Machine Learning models from millions of accounts stored in a Snowflake data warehouse, validate these models, and present findings to key stakeholders.
Deploy and operationalize models into a production data pipeline and operational systems
Participate in the full ML development cycle: design/experiment, develop, validate, deploy, and analyze.
Lead the prioritization and ROI analysis strategy for model and data science projects across multiple departmental stakeholders
Qualifications
5+ years hands-on experience with machine learning and data science techniques (supervised & unsupervised learning, hypotheses testing, tree-based models, clustering, feature engineering, etc.) and architectures/methodologies (Jupyter notebooks, SageMaker, AWS/GCP, Kubeflow, MLflow, Python, R, etc.)
2+ years experience as a leader managing multiple teams
Experience with scaling of a data organization by hiring and retaining exceptional talent
Leaders who have seen scale with Product Led Growth companies is a plus!
You are passionate about data, are comfortable generating hypotheses and insights from it, and clearly explaining those insights to executive leaders
Experience coordinating a production model through the entire lifecycle of scoping, data exploration, development, training, validation, deployment, retraining.
1+ year experience with operational business model development (examples include conversion/churn prediction, lead scoring, marketing attribution, forecasting, time series modeling, customer lifetime value, customer health scoring, etc.)
You are knowledgeable with SQL and data warehouse architecture
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Sr Data Scientist | Chainlink Labs |
This is a career-defining opportunity to deliver and level-up in a hyper-growth and cutting edge Data Analytics team who are helping to drive the sustainable growth of Chainlink Labs, as we continue to successfully implement a key piece of the world’s blockchain infrastructure that will power the digital agreements of the future.
Chainlink has already experienced huge success in its core verticals and is poised for a rapid expansion into new use cases. Our ambitions are limitless, and we believe this open source technology can and will change the world.
Chainlink Labs is looking for an exceptional and experienced Sr Data Scientist to help lead the delivery of multiple cross functional projects within our rapidly growing Data Analytics team. The successful candidate will quickly become an expert on both crypto and traditional business data, merging these to deliver high impact insights, shaping the decision making process across the Chainlink labs business, as we continue to lead the decentralized oracle space. Chainlink is a mission and goals oriented organization and this role will play a key part in scaling the finance processes as well as improving overall financial data quality.
You will apply your advanced analytics knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative solutions, contribute to the data science foundations, and coach more junior colleagues. You will play a strong role in shaping our strategy.
Your Impact
Help lead and mentor our talented team of data scientists and analysts
Recruit and onboard new analytics superstars to help our team scale alongside the company
Generate and propagate business focused insights, accelerating Chainlink labs move through the Data Analytics life cycle
Become a business SME on blockchain and Chainlink product specific data, to produce powerful messaging through analytics
Ensure the highest quality data is consumed by the business, driving decision making to continue to outperform the industry
Work closely with our world class data science team to translate complex statistical analysis into business actions
Influence key stakeholders through your data storytelling
Requirements
5+ years of Analytics experience or equivalent field
Strong technical skills in advanced analytics with a proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, anomaly detection, probability theory, stochastic systems, Bayesian inference, deep learning, supervised learning, and unsupervised learning
Strong technical knowledge of big data technologies and SQL
Strong history leading cross-functional projects and delivering to multiple senior stakeholders
Experience with BI tooling such as Power BI, Tableau, Looker essential
Product Ownership attitude, everything you deliver meets exceptionally high standards
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or a STEM field or equivalent combination of training and experience.
Desired Qualifications
Excitement for blockchain, Web 3.0, and similar decentralized technologies.
Experience working remotely in a distributed team.
A strong desire to grow and challenge yourself. While this role is mainly focused on maintenance, we would expect you to constantly find ways to improve and automate services under your purview.
Our Stack
BigQuery, Postgres, Airflow
#LI-RF1
Our Principles
At Chainlink Labs, we’re committed to the key operating principles of ownership, focus, and open dialogue. We practice complete ownership, where everyone goes the extra mile to own outcomes into success. We understand that unflinching focus is a superpower and is how we channel our activity into technological achievements for the benefit of our entire ecosystem. We embrace open dialogue and critical feedback to arrive at an accurate and truthful picture of reality that promotes both personal and organizational growth.
About Chainlink Labs
Chainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the Chainlink 2.0 whitepaper. Chainlink is trusted by hundreds of organizations—from global enterprises to projects at the forefront of the blockchain economy—to deliver definitive truth via secure, reliable data.
This role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).
We are a fully distributed team and have the tools and benefits to support you in your remote work environment.
Chainlink Labs is an Equal Opportunity Employer.
#LI-Remote
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Machine Learning Researcher | Dashlane |
Are you a researcher in Machine Learning looking for opportunities to see your research go to production? Does your vision of the internet include users having control of their identities and data?
Join Dashlane as a Machine Learning Engineer and take part in a mission to create the fastest and most accurate autofill in the industry!
About the role:
Dashlane is looking for a Machine Learning Engineer,PhD, to join our Core Analysis team. You will be working on state-of-the-art research on web understanding, relying on large labelled and unlabelled datasets of web pages. As a member of the Core Analysis Team, you’ll help pioneer a brand new, cutting-edge web analysis that will make life easier for millions of people worldwide.
The Core Analysis team provides an analysis of the webpages to other parts of Dashlane, unlocking major functionalities like the autofill of credentials, and the automagic change of password. The team is composed of Software Engineers, Machine Learning engineers and a Data Collection Engineer, to ensure the quality of our analysis. Our analysis engine leverages various Machine Learning techniques such as logistic regression, hierarchical classification and state-of-the-art Natural Language Processing neural network architecture. The team also advocates for public specifications for field autofill, like Semantically Annotated Web Forms.
Location:
At Dashlane, you'll be able to opt to work from the Paris office or remotely. If you choose to work remotely, we are flexible on your location, as long as you are in France.
About our stack:
Languages: Python, Typescript
ML: Scikit-learn, TensorFlow
Monitoring: Tableau
Versioning: Gitlab
Misc: Gitlab CI, JIRA, Confluence
At Dashlane you will:
Work on R&D initiatives around web pages understanding and their applications to a password manager and identity provider
Help maintain and improve our existing data pipelines (data collection tools and databases, model training pipelines, integrations into the Dashlane web extension)
Work with ML Engineers, Software Engineers, product managers, designers in a highly collaborative environment where everyone shares ownership of the company's success
Learn every day, and share your knowledge with your coworkers
Requirements:
Doctoral degree on Information Retrieval or Natural Language Processing
2+ years of experience in handling large amounts of data
2+ years of experience working with Python, Scikit-learn and deep learning frameworks (Tensorflow, Keras, ..)
Nice-to-have:
Experience with Machine Learning cloud platforms (Azure, AWS, GCP)
Interest in JavaScript, Web technologies and embedding Machine Learning within web applications
Interest in data privacy and online security
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Lead Data Scientist | Caterpillar |
Career Area:
Information Analytics
Job Description:
With Caterpillar’s growing focus on aftermarket services, the reporting of key metrics for our dealers is playing an increasing role in meeting our aftermarket services goals, and in the design of high-quality products. The selected candidate for this position will be a key team member accountable for the design, development, implementation, and support of the algorithms and data source for the CVA AAA (Automated Accuracy Algorithm) reporting for our dealers. The ideal candidate for this position will be an innovative data developer with a global perspective of information technologies capable of designing and owning the entire data flow, while focusing on data quality and applying business rules.
Job Responsibilities
This position will be responsible for gathering data from multiple sources, maintaining and developing new business rules to apply, and storing that data in Caterpillar’s AAA safe source. They will work closely with the appropriate business owners (Global Service CVA Operations), District Office Representatives, Industry Partners (CI, RI, E&T) and dealers across the enterprise to gather requirements and implement those to create the AAA safe source. Responsibilities will also include feeding requirements to BI developers to deliver visualizations based on that safe source. The successful candidate will have the ability to conduct workshops to gather requirements in addition to designing the solution. Knowledge of Caterpillar’s Work Order domain as well as an understanding of CVAs would be beneficial.
Basic Qualifications:
Bachelor's degree in Information Technology, Management Information Systems, Computer Science, or related field or 5+ years of software development experience
Minimum of 2 years of experience as an application developer with ETL experience required
Top Candidate Will Have:
Experience with Agile framework for project management methodologies and understanding of data visualization tools such as Tableau Identify and merge data sources to provide a safe source for reporting Demonstrated proficiency in SQL and Snowflake to extract, transform, and load (ETL) data. Create user-friendly tools to enable data-driven decisions by leadership Experience with solution integration or solution architecture practices, IT operations, & data governance Experience with Data mapping, integration, and transformation to a data warehouse Coordinate with internal stakeholders to deploy data science models into production and monitor their performance Perform data related tasks which could include data analysis, data quality, user access management, and troubleshooting of data issues Programming experience in Python, R, or SAS Experience in data modelling principles/methods including conceptual, logical, and physical data models. Familiarity with DevOps systems, such as GitLab Experience building different types of advanced analytic solutions Support the building of tools to automate data collection and model multidimensional datasets Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization Ability to effectively and tactfully communicate orally and in writing Ability to work with a global and remote team
Top Candidates Will Also Have:
A strong understanding of relational databases and SQL Experience utilizing application programming interfaces for application integration such as SOAP Basic knowledge of cloud-based development processes (Amazon Web Services, Azure, etc.) Ability to learn new technologies quickly and apply to real world situations Excellent planning and organization skills Strong analytical skills with ability to identify multiple approaches to problem solving and recommend the best solution Ability to simultaneously work on multiple projects of different sizes Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment. Experience supporting IT-related business processes, security processes, etc. Strong Business Acumen Ability to interact with multiple levels within the organization Ability the formulate and implement strategic vision Relationships with or ability to cultivate relationships with Digital stewards of data inputs / dependencies Relationships with or ability to cultivate relationships with Service Excellence in Global Service
#LI-Remote
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network here .
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Data Scientist Ii | Caterpillar |
Career Area:
Information Analytics
Job Description:
Your Work Shapes the World
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
When you join Caterpillar, you are joining a team of makers, innovators and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that because it helps our customers build and power the world we live in – the roads, hospitals, homes and infrastructure. Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs. Join us.
Description: A Data Scientist within Internal Auditing & Advisory Services (IAAS) is challenged with identifying risk through analytic tools and processes. You will work closely with audit teams comprised of a Project Manager and Auditor-In-Charge to create data driven objectives to assess and identify potential risk, such as inefficient processes or weak controls. Involved from start to finish, you will be responsible for identifying data sources, securely transferring data, developing and executing analytics, and communicating results to the audit team and business partners. You will typically support the engagement as an auditor, leveraging your analytical results and documenting the control environment. You will conduct 8-12 analytics projects annually, spanning a wide variety of processes and business units across the corporation.
A Data Scientist within IAAS is a 2-3 year position that serves as a unique opportunity to learn about Caterpillar, to gain exposure and interact with senior leaders across the company, and to develop a risks and controls mindset that will be beneficial throughout your career. IAAS leadership is committed to helping you develop the skills you need to achieve your career goals.
Job Duties:
Research in-scope business risks and associated business processes Gain understanding of relevant systems and underlying data Design data-driven objectives to assess risks and controls Use analytical tools and scripts to execute objectives Communicate results and recommendations to audit teams and auditee Occasionally perform as a staff auditor during fieldwork phase Work independently to Identify, design, and implement internal process improvements
Basic Qualifications:
Bachelor’s degree in a technology or quantitative field Understanding of relational databases and SQL
Top candidates will also have:
Strong communication skills, both verbal and written Ability and desire to learn quickly Exposure to Caterpillar ERP and IT systems Programming experience (e.g., C#, Java, Python, R, etc.) Excellent organizational and planning skills Data Visualization experience (Tableau, Power BI, etc.) Experience with ETL (Extract, Transform, and Load) design Risk and controls experience Demonstrate intellectual curiosity
Additional Information:
This position would ideally be located in Peoria, IL; Deerfield, IL; however open to considering other Caterpillar facilities within the U.S. (candidates permanent address must be within 50-mile driving distance to a Caterpillar facility). For a full list of U.S. Caterpillar facilities please visit: https://www.caterpillar.com/en/company/global-footprint/americas/united-states.html Domestic relocation is available for those who qualify This position requires up to 15% travel
Employee benefit details:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.
Here you earn more than just a salary, because we value your performance. We offer a total rewards package that provides day one benefits [medical, dental, vision, RX, and 401(k)] along with the potential of an annual bonus.
Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
Final details:
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.Caterpillar.com/Careers
#Remote
#LI
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Submit your information to our Talent Network here .
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Data Scientist | Uptake |
What we do
Uptake is the premier Industrial Intelligence company, providing industrial analytics and data software-as-a-service (SaaS) that empowers major industry leaders to optimize performance, reduce asset failures, and enhance safety. At Uptake, we combine our strengths — machine learning, analytics, data visualization, and software development — to deliver actionable insights that make the industry more reliable, productive, safe, and secure.
What Data Scientists Do Here
Data science is at the core of what we do at Uptake. We collaborate with engineering, UX, product, and other teams to contribute insights and data science best practices to all parts of the business.
Typical day to day tasks for a data scientist might include:
Collaborate with teams to analyze problems
Build, test, and deploy supervised or unsupervised learning models
Write data analysis reports for internal use
Build tools to enable other data scientists to scale their knowledge and increase impact
Work with customers to develop analyses that help them solve business problems and drive value
Learn a new programming language or data science technique - we continually build our skills and explore new things.
What We Are Looking For
Passion for data science! We want candidates who love data science and are excited about what they do.
Some ways previous successful candidates have demonstrated this are:
Expressing detailed knowledge of and genuine interest in Uptake’s unique methods, products, data, and technology within a cover letter.
Active participant in relevant online communities
Recognized via professional or academic awards (example: Most Valuable Employee, scholastic grants)
Actively writes relevant blog posts and/or articles
Ability to write sophisticated machine learning and data analysis code in python or R
Some ways previous successful candidates have demonstrated this are:
By describing a data science model they developed that is deployed in a live setting within a resume or cover letter
Made a high quality data science project available in a public forum like GitHub or Kaggle
Contributing to influential Open Source Projects like sklearn, XGBoost, tidyverse, Tensorflow, pytorch, Kafka, Spark, Elasticsearch etc.
Published work in Data Science related journals or conferences such as ICML, NIPS, JML, KDD, and INFORMS
Experience communicating effectively with people at all levels of an organization. Our data scientists regularly share complex insights with all kinds of people.
Some ways previous successful candidates have demonstrated this are:
Elaborating in a cover letter or resume ways that they have professionally collaborated with others in the organization and the impact that collaboration had on the organizations KPIs
Teaching data science to non-data scientists in an academic or professional setting
Bachelor's degree or higher in a quantitative or relevant field
Candidates must be authorized to work in the US.
Nice to Have
Internship experience in an analytics-focused role
Experience working with IoT systems, ranging from DIY home projects to industrial IoT deployments
Have made substantive contributions to open source projects in the areas of data science or machine learning
Experience developing software projects with large teams using technologies like; git, jenkins, travis, jira, etc.
Master’s degree or PhD in a quantitative or relevant field
Why Work Here
Uptake is a values-driven organization, and we are excited about what we do! We’re flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to solve tough, important problems. We support and challenge one another to bring out the best in each of us, and we have fun along the way. We are proud to have been named as a Best Large Company to work for in Chicago on Built In Chicago’s Best Places to Work list in 2022 as well as #6 on the tenth annual Crain’s Chicago Business Most Innovative Companies List.
We offer generous benefits including health, dental, vision, parental leave, 401K match, unlimited PTO, and an annual stipend for continuing education, to name a few. Uptake's benefits foster the work-life balance that we know is essential to building a collaborative and authentic culture, and to the impact that we make on our customers day in and day out. We are also proud to be recognized by Purpose Jobs for Best Benefits at a Mid-Size Tech Company in 2022. Learn more at https://www.uptake.com/careers.
Uptake welcomes and encourages applications from all individuals, without regard to any prohibited ground of discrimination, including from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.
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Data Scientist | Gradle |
Gradle Enterprise is a first-of-its-kind product that software teams use to accelerate and optimize Gradle, Maven, and Bazel builds. It comprises several facets including large volume data ingestion and processing, complex data analysis and visualization, and distributed caching and execution systems.
We are applying ranking, classification, clustering, pattern recognition, text summarization, and other analytical tools to developer productivity problems in novel ways to help our customers ship faster with less risk.
Our software is used by some of the world's leading software organizations, such as Netflix, Airbnb, Spotify, and Twitter. We regularly collaborate with these and other users to make our products continuously better.
Profile
We are looking for data scientists with a demonstrated ability to efficiently deliver and maintain innovative statistical, machine learned, and visual solutions as part of a collaborative team.
Our ideal candidates possess a passion for developer productivity, have courage and perseverance to explore complex analytical problems, discern good solutions from great ones with sharp technical skills, adeptly balance exploration and knowledge exploitation, and effectively communicate complex concepts to experts and non-experts.
Responsibilities
Collaborating with customers to understand their developer productivity challenges and explore opportunities
Identifying potential models or algorithms using applied data science principles such as machine learning, statistical modeling, and artificial intelligence
Working with MLOps engineers to process training and eval data
Measuring and improving solution effectiveness
Collaborating with the design team to produce actionable visualizations and insights
Presenting solutions and technical reasoning to experts and non-experts
Minimum qualifications
3 years of practical experience in machine learning, statistics, and/or artificial intelligence
Experience programming in Python and SQL, or other data analysis languages such as R
Working proficiency and communication skills in written and verbal English
Preferred qualifications
Bachelor’s or master’s degree in a quantitative field such as statistics or computer science
Experience programming in Java
Experience working with large datasets
Experience working on developer tools
Systematic problem-solving approach, coupled with effective communication skills
Interest and ability to learn new data science skills and techniques
What we offer
Contributing to leading solutions in the new industry of Developer Productivity Engineering
An automation-focused, test-driven engineering culture
An ambitious and experienced engineering team, dedicated to craft and delivery
Close collaboration with world-class engineers around the globe on novel products
In-person onboarding with your team and yearly, extraordinary company offsite event
Opportunities for growth in technical and managerial responsibilities
Attractive compensation package including company equity
Location
Anywhere in North America with working conditions that allow for seamless collaboration with your colleagues through email, chat, and video streaming
How to apply
The following is required with your application:
Submit your cover letter, your resume, and a build scan link via the form below
Explain in your cover letter why you want to work on the Gradle Enterprise product
Create a build scan for any OSS project and tag it with data-scientist
Next steps
After applying, familiarize yourself with the Gradle Enterprise hiring process to understand the next steps.
About us
We are committed and skilled software engineers, product designers, and marketing experts who are passionate about developer productivity. We take pride in delivering products that are relied upon daily by some of the world's leading software organizations, such as Netflix, LinkedIn, Airbnb, Spotify, and Twitter.
Our team is globally distributed but deeply connected. We value our interpersonal relationships as much as we value our achievements. We are a diverse and inclusive workplace where we learn from each other and together. We welcome people of different backgrounds, experiences, abilities, and perspectives.
Visit our careers page to learn more about the company and see other open positions. Visit Glassdoor to read what current and former Gradle employees have to say about the company.
Privacy Notice
For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Job Applicant Privacy Notice.
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Senior Data Scientist | Fable |
Fable is an exciting start-up with a mission to make the world a healthier and happier place. We are building a social platform to connect people via stories. Reading together with friends, family, and co-workers is a great way to enjoy the full mental and physical benefits of reading. We call this “social reading,” and use it to empower global communities to read together every day in digital book clubs. We are now planning to expand to stories that you can listen to or watch, and discuss these with other people who share similar interests. We are backed by top investors including Redpoint Ventures, Tiger Global, M13, Gaingels, and notable angel investors who believe in our mission and team.
☀️ PURPOSE
We are building Fable because stress, anxiety, depression, and social isolation are on the rise and affecting people globally, across all age and income levels — and we can help. Stories promote empathy, social perception, emotional intelligence, and other cognitive abilities that can lead to better mental health. Just 30 minutes of reading every day can improve our mental wellbeing. Fable helps people make reading a fun and healthy daily habit that connects readers with friends, family, and communities.
🏗 WHAT WE ARE BUILDING
Fable puts the omnipresent mobile screen in service of digital nutrition.
In a world struggling with cognitive dissonance and toxic behaviors on social media, Fable combines taste-making curation and moderated social connections to foster mental wellness, personal growth, and meaningful interactions.
Social Reading
Fable makes it easy for people to discover, join and build communities based on their interest graph. Fable members read together, sharing highlights, notes, and comments. We curate the vast body of knowledge that surrounds every book and surface the most interesting bits to make reading much more interactive and fun.
Curation
Well-read experts and tastemakers select great books that are featured inside “Fable Folios.” A Fable Folio is a selection of exceptional stories and book recommendations. New Folios are released weekly and offer something for everyone, whether they’re seeking to be entertained, informed, or challenged.
Healthy Habits
Every day, Fable helps members set and reach their reading goals to reap the wellness benefits of reading. Our communities set their own milestones to pace themselves and fill the micro-moments in their lives with stories.
🤹 ROLE
We are looking for an experienced data scientist with a deep understanding of statistics, machine learning (ML), and experimentation to build ML models, run A/B experiments and causal inference studies from observational data, and uncover insights that will help us build the world's best mobile platform for social reading.
💪🏽 WHAT YOU WILL DO
- Develop statistical and ML models to power product features and generate insights to guide operations teams
- Lead causal inference efforts, including design and analysis of A/B experiments, and studies based on observational data
- Rigorous thinking around data and metrics to ensure we're measuring the right things and using the right techniques for measurement
- Dig deep into a rich trove of data to identify insights that will unlock network effects and fuel growth
- Be an advocate of data-driven thinking and communicate data and metrics to the entire company!
✔️ SKILLS YOU WILL NEED
- Thought leadership to ideate with business leaders, identify areas of opportunity, and influence decisions
- Curiosity to understand business needs and translate them to the right questions to ask of the data
- Ability to come up with insights from data and influence stakeholders to take action
- Excellent partnership and communication skills
- Expertise in statistical methods, machine learning modeling, SQL, Python and/or R
- Big plus if you have experience deploying ML models into production!
😊 IS THIS YOU?
- You're self-motivated, and take ownership and responsibility
- You love working with smart, fun, sincere and dedicated peers
- You want to be the one to make it happen
- You are resilient and can cope with ambiguity
- Comfortable in a fast-paced and at times unpredictable start-up environment
- Big plus if you have a love for stories and reading!
👐🏽 YOUR TEAM AT FABLE
At Fable, you'll join a passionate, high-performing and empathetic team of people who love stories. We are proud to work on a purpose-driven product with a mission of improving mental wellness. We are a tech company with the soul of an artist. We are an early-stage startup and as such a constant work in progress. We have no time for bureaucracy and are looking for leaders, not spectators. We listen, understand, and consider before we judge. We are committed to diversity and inclusion, and have a set of values that are an integral part of our company culture. Please check out our diversity and inclusion manifesto and company values here.
🔑 WHY WORK AT FABLE
This is a unique opportunity if you are looking to join a small team making a big impact, and work on a fast-growing product while having fun along the way.
- Competitive salary and stock options
- Comprehensive health and dental plans
- Flexible vacation days
- Open and transparent culture
- Parental leave (we believe in life integration not just work-life balance)
- Work from anywhere, any time
WANT TO LEARN MORE ABOUT FABLE?
- Check out our Founder’s message, meet our team and read our principles to make sure we are right for you
- Read more about Fable in Fortune and Marie Claire
- Listen to our Founder talk about mental wellness and stories
- Top 50 seed companies to work for 2021
We are an equal opportunity employer and embrace diversity at our company. We do not discriminate by race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are a gender-balanced team committed to diversity and an inclusive environment.
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Senior Data Scientist Analytics Safety | Discord |
What You’ll Be Doing
Partner with Safety teams across products and ops through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Dive deep in our data to understand our users, analyze patterns, identify emerging abuse vectors, and surface recommendations that will shape the future of our product roadmap.
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You Will Thrive In This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
2+ years acting as a strategic thought leader with partner teams, helping define success metrics, set targets, and design proactive analysis that helped the team achieve its goals.
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
A desire to work in a fast-paced environment with many unsolved problems!
Bonus Points
Experience on a safety, risk, or integrity team, and/or a deep passion for making Discord a safer place.
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with statistical analysis using R, Python, or advanced SQL.
Passion for Discord or online communities
New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $140,000 year + equity and benefits*Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
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)
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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Data Scientist Marketing Online | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
COVID PRECAUTIONS
Health and temperature checks at all locations
Associates are required to wear a mask
Required social distancing measures throughout buildings
Increased cleaning frequency and enhanced sanitation efforts
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Data Scientist Mid Level | Usaa |
Purpose of Job
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.
Candidate selected for this position is going to work with USAA enterprise data office data science team. They will leverage the advanced machine learning method to drive member insights and enhance member experience of the organization.
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
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.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
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:
Strong Python, SQL skills.Relevant banking domain knowledge of Omni, customer interaction data is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 – 158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Manager Data Science Bad Actor Disincentives | Amazon |
DESCRIPTION
Job summaryYou have super powers. Use them for good. We catch bad guys and stop online fraud. It’s fun. It’s hard. It matters. We need you.Amazon’s Customer Trust and Partner Support (CTPS) team is engaged in a technological arms race: cyber-criminals from across the world continually look for new ways to steal from us and cover their tracks, while we invent new techniques to detect and neutralize them with ever increasing speed and scale.It’s fun. We don’t just catch the bad guys; we stop crimes before they happen. Remember the "Minority Report"? It’s just like that. Basically, we predict the future by developing and applying cutting-edge machine learning systems to detect, predict, and prevent online fraud before it happens.It’s hard. This is Amazon, so of course our services are low latency, high throughput, highly scalable, and failure proof. Our fraud prevention systems are also highly reactive: we process multiple terabytes of data yet notice changes in individual behavior patterns in seconds. Even by Amazon standards, our datasets are massive and our transaction rates impressive, and everything is built with a scrupulous attention to security.It matters. Amazon is one of the world’s most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when sellers cheat buyers, everyone loses. Even after we refund their money, buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and charge-backs goes straight to our bottom line and ultimately results in higher prices for all our customers.We are looking for a gifted Data Science Manager to develop the next generation of fraud risk management systems for Amazon.Amazon is one of the world’s most trusted companies. Help us keep it that way.
BASIC QUALIFICATIONS
· Masters in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent experience· 5+ years experience extracting and transforming data using SQL and/or scripting languages (e.g., Python)· 5+ years experience building statistical models and conducting analyses using tools such as R, Python, STATA, or a related software· Proven experience continuously learning and applying data science knowledge across topics such as causal inference, forecasting, machine learning, and large-scale scientific / distributed computing· Strong verbal and written communication skills to communicate relevant scientific insights to technical and non-technical audiences· Strong ability to earn trust with multiple groups of stakeholders both technical and non-technical· Experience leading scientists/engineers as well as a successful record of developing junior team members
PREFERRED QUALIFICATIONS
· PhD in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent· Strong background in causal inference and/or time series forecasting applications· Proven track record of building and managing a high-performing science team including hiring, coaching, and career development· Experience working in science leadership role in subscription / consumer product industry· Experience with data visualization software such as Tableau, Amazon Quicksight· Experience implementing machine-learning methods for business applications (e.g., boosted regression trees, random forests, neural networks)· Experience with AWS technologies like EC2, Redshift, S3, Sagemaker· Ability to adapt in a fast-paced working environmentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Data Science Manager Advertiser Experience | Amazon |
DESCRIPTION
Job summaryAmazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertising Console Product and Technology team is a group of creative individuals whose vision is to make the Amazon Advertising Console (AAC) the most loved and used tool for all advertisers to market and grow their businesses, brands, and products to a global customer base. The AAC is a collection of federated applications that combine to form the face and brand of Amazon Advertising. ACPT owns the delivery of the software, processes, and tools that allow teams across Amazon to build, support and enhance applications and features that deliver a cohesive advertising experience to all advertisers worldwide. By using our development kit and reusable components, developers can rapidly build features that integrate seamlessly within the suite of advertiser products. We use survey research, data science, machine learning, experimentation, and predictive modeling to understand advertiser dynamics, drive platform optimization, support evidence-based decision making, and help to develop predictive, intelligent features. As the Data Science Manager on this team, you will:
Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video ~ https://youtu.be/zD_6Lzw8raE
BASIC QUALIFICATIONS
PhD or Master’s Degree in Statistics, Applied Mathematics, Physics, Science, Engineering, Economics, or other quantitative fields.3+ years of direct people management; managing scientists.8+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics roleExpertise in as many of the following: hypothesis testing, estimation, experimental design, hypothesis and A/B testing, causal inferencing, multi-variate testing & design, descriptive analytics, and regression analysis.Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).Familiarity with probability, probability distributions, statistics and causal inference.Good understanding of apply machine learning to solve real-world problems.
PREFERRED QUALIFICATIONS
Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics; sophisticated user of statistical tools.Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of dataCombination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.
The pay range for this position in Colorado is $175,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Senior Data Scientist Alexa Marketing Science | Amazon |
DESCRIPTION
Job summaryAre you ready to lead the design and implementation of a new approach to ML-driven advertising and the AI experience? Alexa Marketing Science is looking for an inventive, adaptable, and curious Senior Data Scientist to help dive deep into customer attitudes and interactions with AI. The ideal candidate will have hands-on experience listening to stakeholders, defining and refining research goals, and generating potential solutions to novel problems. Candidates must have the breadth of knowledge to balance algorithm performance and complexity on a per-problem basis, as well as the ability to explain the impact of the model to a business audience in non-technical terms. Inclusive Team CultureHere at Alexa, we embrace our differences. We are committed to furthering our culture of inclusion. We have innovative benefit offerings, and we host biweekly and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilitiesScientists at Amazon are expected to develop new techniques to process large data sets and contribute to the design of automated systems. Key responsibilities include:* Apply ML, statistics or econometrics techniques to develop and analyze prototype models.* Design and analyze data from large-scale online experiments and small-scale experiments and surveys to provide insights and validate prototype models.* Collaborate with scientists across teams in peer-review processes, publishing research in internal forms and industry conferences.* Partner closely with product and engineering teams to improve the advertising performance and translate prototype models to production.* Research and experiment with novel statistical modeling approaches.* Have fun working on ground breaking technology with people just as passionate about their work as you!A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe vision for Alexa Marketing Science (AMS) is to understand and anticipate customer voice assistant desires, needs, and preferences by surfacing timely information and options about Alexa and Alexa products. Our work enables builders to consistently launch 4-star products, in a manner that entices customers everywhere to require Alexa experiences throughout their daily life.
BASIC QUALIFICATIONS
* Master’s degree (or Bachelor's degree + 8 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Quantitative Social Science, or Computer Science* 5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication* 5+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)* Experience in ETL and databases in a business environment with large-scale, complex datasets
PREFERRED QUALIFICATIONS
* Advanced expertise in Python, SQL, Stata, R and/or Scala.* Experience modeling observational survey data* Experience finding practical solutions for ambiguous and challenging business questions* Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts* PhD in Economics, Quantitative Marketing, Quantitative Social Science, or closely related field.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Data Scientist | Parsons |
Req #: R127583
Location: US – Remote (Any Location)
Category: Technical Support/Technician/Scientific
Minimum Clearance Required to Start:
Secret
Job Description:
Location: LA SFB/Remote
Job Description:
Parsons is seeking a Data Scientist to participate in on-going projects. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
Duties include:
Work on Palantir- foundry platformUnderstands business requirements and applies them to complex...
Read more
Ready for action? We’re looking for the kind of people who see this opportunity and don’t hesitate to act. Parsons is a leader in the world of Technical Services and Engineering. We hire people with a broad set of technical skills who have proven experience tackling some of the greatest challenges. Take your next step and apply today.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
Apply Now
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Data Scientist Product Analytics | Vsco |
About VSCO
At VSCO, our mission is to help everybody fall in love with their own creativity. We are passionate about designing trusted creative tools that are powerful, personal, and authentic. Our members are talented, inspiring, and equally passionate about their creativity. We seek humble overachievers and self-starters who are naturally curious, highly organized, and thrive in fast-paced, ever-changing environments. We foster a culture of collaboration, inclusion, ambition, and progress.
About You
We are looking for a Data Scientist to take our data practice to the next level. You will work with our Head of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.
You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
The day-to-day
Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team
Qualifications
Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
2+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines
Nice to have
Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts
Job Perks
A virtual first workplace with quarterly company-wide travel events to connect and play.
Competitive Salary & Equity
Healthcare insurance, vision, dental insurance for employees and families
Flexible vacation policy
Creative Fridays, VSCO Create weeks (our version of hack week), and so much more.
Why VSCO?
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
We believe in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.
#LI-Remote
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Sr Data Scientist Marketing | 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 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 on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partners with us to make sure we are building a data-driven culture.
About the Role:
As the Senior Data Scientist for Marketing, you will lead our analytics efforts within the marketing and international teams. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, define key business metrics, set company wide goals, and present quantitative research. We are open to this role being hybrid or remote work within the US.
In this role, you will:
Partner with Growth Marketing, PR, and Product Marketing teams to develop and drive the Marketing roadmap and strategy
Partner with our International, London-based team on international strategy and performance
Leverage Quizlet’s robust data sets to publish public-facing research reports, discover high-value segments with LTV work, recommend future campaign strategies, and inform the company on user product journeys
What you bring to the table:
5+ years of experience in marketing analytics and data science
Advanced SQL skills, including highly developed QA skills and ability to write the most efficient, optimized code
Practical knowledge of running A/B tests for marketing teams
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Deep understanding of the analytics toolkit, including funnels, cohort analyses, user segmentation, regression models, and more
Bonus points if you have:
Experience with Braze, Google Ads, and Facebook Ads
Experience working on international focused growth projects
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 $123,000 - $170,000, depending on location and experience, as well as company stock options
[This role is eligible for commission payments (if applicable)]
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
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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Sr Data Scientist | Branch |
Sr. Data Scientist : Product
Branch is on a mission to help working Americans grow financially. We do this by helping companies accelerate payments and empower working Americans with accessible, fee-free financial services. We’re committed to building and delivering more inclusive and transparent financial products.
Come join our team as we develop new ways to improve the lives of working Americans. Our mission starts with empowering our own employees. Have a great idea? Share it today and it might just get implemented tomorrow. As a team member at Branch, your voice and creativity can directly impact the product and company. We not only attract great talent from across the country, but also build teams to help that talent to thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together.
The Data team at Branch is looking for a senior data scientist to improve the overall experience of workers on Branch’s platform by balancing user experience with risk mitigation. The ideal candidate will be a data guru that enjoys seeking out solutions to complex business objectives, mapping the solutions to data science approaches and delivering scalable results. The ability to juggle fully automated solutions and ad-hoc needs of the business is a necessity for success in this role.
Responsibilities include, but are not limited to:
Monitor Branch’s product line from a risk perspective
Work with product and operation teams to optimize the growth:risk tradeoff by creating models and routines that set product parameters
Lead feature engineering effort for risk modeling within the larger data team
Proactively seek out areas to apply data science approaches to advance business goals, emphasizing on low hanging fruit
Act as resident expert on anomaly detection and risk modeling
Qualifications:
5+ years solving data problems using advanced statistical techniques
Business experience in monitoring risk and optimizing the tradeoff between risk and growth
Strong background in Python and SQL
Experience solving data problems “end to end”: from analysis to modeling to productionalized deliverable (ideally leveraging Python Notebooks)
Familiarity conducting data science research to explore cutting edge approaches
Background in machine learning and econometric modeling; ability to interpret and “teach” results
Bonus points for
Fintech and/or Payments experience
Familiarly with Google Cloud Platform
Benefits:
Work from anywhere
Branch-paid medical, dental, and vision insurance
Equity
401k
Flexible time off
Paid company holidays
Paid parental leave
Branch is an equal opportunity employer and we 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.
Working at Branch
Headquartered in Minneapolis but with employees located all throughout the US, Branch emphasizes transparency, accountability, and trust to create a collaborative environment where our product, engineering, marketing, customer support, customer success, and sales teams can all thrive together.
Our teamwork has enabled us to become an award-winning fintech company, with Branch’s innovation and workplace recognized across industries. Branch has been honored by the Webby Awards, Benzinga Fintech Awards, Fintech Breakthrough Awards, the Star Tribune’s Top Workplaces, and EY Entrepreneur of the Year, Heartland, among others.
Learn more about our culture, approach, technology, and people here: https://www.branchapp.com/culture
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Senior Data Scientist Monzo Flex | Monzo |
We're looking for a Product Data Scientist excited to help us revolutionise the way people manage their finances. A key part of this role is product development our recently launched Monzo Flex, a product that gives customers a better way to pay later. You’ll help us understand and improve the user experience for a new product, help drive growth (we have over five million current account customers), and how we consider cross product dynamics across the range of borrowing products.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company - and want to embed this into Monzo Flex, using powerful, real-time analytics to drive how we think about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:
Work within a Product squad within the Borrowing Collective, collaborating closely with designers, PMs, and engineers to develop the testing and product roadmap for Monzo Flex.
Actively explore uptake and engagement of Monzo Flex and our other borrowing products, to make sure we can offer the right product and features to our customers
Be the expert on running simple and more complex experiments so that we can reliably measure the impact of changes we make to our borrowing products
Scale your knowledge and impact across data in borrowing by sharing your knowledge and working with others on projects and experiments
Find enjoyment in contributing to data across Monzo by sharing your insights, contributing to our core data pipelines and proactively spotting opportunities for applications of your work in other areas of the business
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
Nice to haves:
You have multiple years of experience in product or growth analytics, preferably in a fast moving tech company
You have experience working in financial services
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
#LI-NB1
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Senior Data Scientist | Monzo |
We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2021 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.
As part of your role, you'll:
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
Nice to haves:
You have experience in product or growth analytics, preferably in a fast moving tech company
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
____________________________________________________________________________________________________________________________
#LI-NJ1
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Senior Data Scientist Financial Crime | Monzo |
We're looking for a curious, adaptable Data Scientist to join our team at Monzo!
You will be responsible for partnering with stakeholders in FinCrime to develop evidence-driven solutions to important Operational and Financial Crime problems. You will apply your data expertise to surfacing key insights that will help drive decision-making, and develop data tools (where appropriate) that will improve our ability to fight financial crime and keep customers safe. You will work together with other members of the data discipline to maintain high quality, accurate data that our stakeholders can rely on.
Data at Monzo
Our Data team's mission is to
Enable Monzo to Make Better Decisions, Faster
At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
Our technology stack
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
Google Cloud Platform for all of our analytics infrastructure
dbt and BigQuery SQL for our data modelling and warehousing
Python for data science
Go to write our application code
AWS for most of our backend infrastructure
The role
Working in a multi-disciplinary data and engineering squad, you will:
Work closely with financial crime analysts, operations analysts, data scientists and engineers to understand the underlying business problem and propose an appropriate solution (whether involving purely engineering, purely data or both)
Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy
Build robust data models, reports and visualisations downstream of backend services (mostly in BigQuery SQL) that support internal management information as well as governance and regulatory reporting
Investigate and effectively work with colleagues from other disciplines to address and improve data quality
Conduct deep dives into various Fincrime systems for fraud detection, transaction monitoring and customer risk to identify key business opportunities
Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if
You have strong SQL skills and are familiar with BigQuery and/or general data warehousing concepts
You are comfortable exploring potentially ambiguous business problems and enjoy finding technical solutions to them
You have experience building robust and reliable data sets requiring a high level of control
You’re keen to learn more about new technologies and their application in retail banking
You strive for improvement, proactively identifying issues and opportunities and getting them prioritised
It would be a bonus if:
You have multiple years of analytics experience, preferably in a fast moving tech company or consultancy
Experience working with governance reporting or financial crime
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
Equal Opportunity Statement
At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.____________________________________________________________________________________________________________________________
#LI-NJ1
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Data Science Manager Personal Banking | Monzo |
We're looking for Data Science Managers to help our product teams build the bank of the future. You’ll have the opportunity to lead a team of Data Scientists across our Personal Banking collective.
Personal Banking owns our most important current account features. You’ll get the chance to work on our market leading products like Pots, Get Paid Early, and our Plus and Premium Product. Your work will produce a best in class new user experience, and help build social connections with our peer to peer payments, our referral programme and shared tabs.
You’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You’ll help your team grow, hiring new team members, supporting their personal development. Your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside engineers, designers, marketers, product managers, machine learning engineers etc.
As part of your role, you'll:
Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
Help hire, develop and retain talented Data Scientists
Generate insights that can change the direction of product development
Establish yourself as a trusted partner to the product leadership teams with the capacity for getting things done, be it either hands-on or by leading others
Bring data leadership and rigour to our approach to product development in the operations function and build a strategic understanding of the business while structuring complex projects to bring them to life
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You have multiple years of experience in data, working as a Lead Analyst or Data Scientist
You know what it takes to manage top tier Data Science talent
You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same
You have multiple years experience working in a product analytics role and have conducting large scale A/B experiments
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
___________________________________________________________________________________________________________________________
#LI-NJ1
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Director Of Data Science | Monzo |
We're looking for a Data Science Director to help our product teams build the bank of the future. You’ll have the opportunity to lead teams of Data Scientists across our product organisation, managing our Data Science teams across Personal Banking, Subscriptions and Business Banking. This is very much a leadership role – you’ll sit at both the leadership level for the Product organisation and the Data Discipline, helping shape the future of both. We’re on track to grow Monzo (500% growth since January 2019!) and the Data Discipline (300% growth since Oct 2020!) and are looking for a leader ready to take on both.
Personal Banking and Subscriptions own our most important current account features. You’ll get the chance to work on our market leading products like Pots, Get Paid Early, and our Plus and Premium Product. Your work will produce a best in class new user experience, and help build social connections with our peer to peer payments, our referral programme and shared tabs.
You’ll work closely with the general managers, product, design and engineering directors to run your area of the business. You’ll be responsible for the future size and direction of your data area, building a high performing team across our subdisciplines (from Data Scientists and Analytics Engineers, all the way to Machine Learning Engineers). You’ll grow and mentor the Data Discipline members of your team, including your own Data Science managers.
You’ll ensure we generate high quality insights that help shape the direction of our product. You’ll lead a culture of high quality, proactive analyses designed to not only respond to new features as they launch, but to help generate the foundations of what we do next. We’re looking for someone enthusiastic about building market leading products and seeing the data insights their team produces go on to improve the lives of millions of our customers.
As part of your role, you'll:
Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling Data problems
Help hire, develop and retain top tier talented Data Scientists
Develop your own leadership structure of Data Science Managers
Promote a culture of proactive, high quality data insights that can impact the direction of Monzo
Establish yourself as a trusted partner to the product leadership teams with a reputation for getting things done
Bring data leadership and rigour to our approach to product development
Build a strategic understanding of the business while structuring complex projects to bring them to life
What’s special about data at Monzo?
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Machine Learning Engineers etc.
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is also designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best: think creatively. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You know what it takes to hire and retain top tier Data Science talent
You have multiple years of experience in a leadership position in Data Science
You know what it takes to impact product strategy
You consider yourself an empathetic leader, have experience managing Data Scientists and you really enjoy that part of the job
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know the right tools for the job and can help your team choose the right approaches
Logistics
We can help you relocate to London & we can sponsor visas
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
If you prefer to work part-time, we'll make this happen whenever we can – whether this is to help you meet other commitments or strike a great work-life balance
___________________________________________________________________________________________________________________________
#LI-BN1
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Senior Genomics Data Scientist | Ancestry |
About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.
With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.
AncestryDNA is looking for a Senior Genomics Data Scientist to join our Computational Genomics team. As a Senior Scientist, you will work with our enthusiastic team of scientists, engineers, and product designers to help customers better understand their origins. You will mine large datasets and develop computational methods that connect people to genomic and phenotypic insights. Our Senior Genomics Data Scientist reports to the Senior Manager of Computational Genomics.
What You Will Do:
You will work with our excellent team of data scientists, population geneticists, and statisticians.
You will mine large datasets and run analyses to understand populations, their phenotypes, and their DNA sharing patterns across multiple generations.
You will build computational tools to connect genomics to insights about individuals and populations.
You will work with product and engineering teams to deploy and monitor computational models in production
Who You Are:
You have a PhD in computational biology, biostatistics, population geography, data science, or a related field with an emphasis in computational science.
You have a minimum 2+ years of experience working in industry on projects with diverse stakeholders.
You have a demonstrated ability to lead and manage projects that meet timelines and deliverables.
You develop novel approaches to complex problems using machine learning or computational strategies
You are proficient in programming to implement and validate new approaches, in Python, C++, Java, or R. Experience working in AWS is a plus.
You have excellent communication and project management skills across disciplines and teams.
#LI-JE1
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.
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Staff Data Scientist Nlp | Ancestry |
About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.
With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.
We are looking for a Staff Data Scientist with expertise in the field of Natural Language Processing (NLP) to join our centralized Data Science team and report to the CV/NLP Manager. You will develop state of the art solutions to a variety of challenging problems supporting family history and DNA products.
What you'll do...
In partnership with business leaders, establish a vision for the use of NLP to extract value and data-driven insights from our billions of genealogical records and from the Newspapers.com archives;
Use data science and machine learning to drive product improvement, customer success, marketing optimization, and more across both our family history and DNA products;
Help champion a data-driven culture and push long-term business value creation through development of best-in-class data science and NLP capabilities;
Partner with subject matter experts to inject their in-depth knowledge into the model creation process
Work closely with engineering teams to optimize NLP algorithms and deep learning models, deliver model improvements, and deploy models to run efficiently in production systems;
What you have...
Ph.D. in Computer Science, Statistics, Mathematics, Linguistics, Engineering or data related field;
Minimum5+ years of hands-on technical experience developing and deploying NLP deep learning and machine learning models in production settings;
Minimum 2+ years of experience mentoring and leading engineering teams;
Direct industrial experience with a proven track record of leading efforts to design, implement, and deploy multiple data science projects end-to-end from idea generation, objectives formulation, to implementation and deliverables;
Extensive background in ML and NLP methods including CNN, RNN, transfer learning, attention mechanisms, large language models, transformers, generative models and embedding methods;
Experience with NLP techniques such as named entity extraction, document classification, document summarization, topic modeling, relationship extraction, machine translation, sentiment analysis, dialogue systems;
Expertise with NLP technologies including Python, Tensorflow, PyTorch, Keras, SciPy stack and Scikit-learn, NLTK, spaCy, pandas, numpy, etc.
Knowledge of pre-trained language models like BERT, GPT, T5, Huggingface and XLNet
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.
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Data Scientist | Outschool |
The Company
Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.
We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.
We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.
The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.
Earlier this year, Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.
The Role
Data Scientist (multiple openings), Outschool, Inc. San Francisco, CA. Responsibilities:
Work cross-functionally with multiple internal teams to help shape Outschool’s strategy by
sharing key insights and finding creative ways to use data to problem-solve and improve its
products and services. This entails: translating data into insights and action; defining and
monitoring key company-wide success metrics and OKRs; using visualization, reporting and
other tools to improve how our team accesses and interprets datasets; conducting quantitative
research to dig deeper into pressing analytic questions; creating models to identify important
segmentations and predict outcomes in specific subdomains; building data tools that help us
scale manual processes; and prototyping new data-driven features that increase value for our
learners, families, and teachers. Telecommuting permitted. Requirements: Bachelor’s degree in
Math, Economics, Statistics, Computer Science, or related quantitative field, plus 3 years of
experience in data science or analytics role. Prior experience must include 5 years of experience
with SQL skills and Python or R programming; and 5 years of experience working with data
visualization tools including Mode, Looker, or Tableau. Must successfully complete
competency-based interview. To apply please send resume to: [email protected]
OUTSCHOOL CARES:
At Outschool, we believe that taking care of one another enables us to do our best work. To us that means:
•Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.
•Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.
•PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.
•Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.
•Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!
•Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.
Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.
Outschool is committed to providing reasonable accommodations to neurodiverse individuals, applicants with physical and mental disabilities, and disabled veterans. For individuals who would like to request an accommodation, you may reach out to us at [email protected] or through your Recruiting point of contact as you schedule your initial interview.
Benefits packages are included for full-time employees only.
Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada.
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Senior Data Scientist Experimentation Lead | Opendoor |
About Opendoor:
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.
About the Team
As the Experimentation Lead Data Scientist at Opendoor, you will collaborate with the rest of our Data Science & Analytics organization to drive more and better learnings across our key business areas. You’ll partner with Engineering, Product, Design, and Operations leaders to identify key questions fundamental to the growth and health of each domain area, and help them craft scientific yet pragmatic learning agendas. You’ll lead data scientists and analysts to continuously improve our methodology, process, and culture to effectively execute experiments and meet growing experimentation demand from cross-functional teams.
Role Responsibilities
Develop a deep understanding of the landscape of causal learning at Opendoor
Partner with cross-functional business owners to identify key questions and opportunities, and construct pragmatic agendas to guide hypothesis-based learning strategies to answer these questions
Collaborate with other data scientists, data analysts, and software/data engineers to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution
Make recommendations on how to grow Opendoor as a learning organization to executive leadership
Become an expert in experimentation practices across online and offline environments, especially in the real estate technology domain
Skills Needed
Expertise in statistical inference and experiment design and analysis
Strong product and business sense to dive deep into new domains and identify patterns and opportunities
Outstanding written and verbal communication skills to influence non-technical audiences and collaborate with technical teammates
Comfort with ambiguity and driving impact in a fast-paced environment
5+ years of industry experience with an advanced degree in a quantitative field
Proficiency in SQL or any other relational database languages and numeric programming in Python, R, or other languages
Bonus points if
Hands-on experience building internal experimentation platforms or customizing commercial experimentation tools for business-specific use cases
Quasi-experimental design and causal inference analysis in situations where data sizes are limited or controlled experiment isn’t feasible
More About Us:
Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.
We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 85% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness:
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
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Data Scientist | Rackspace |
We are looking for an awesome Data Scientist, below you will find the main points for the requisition:
*At least one year of corporate experience.
*Developing skills in Python or Sequel.
*Experience with BI Tools (Qliksense, Power BI, Tableau).
*Good English Skills
A day by day:
*SAFe meetings
*Code reviews
*Project ownership
*Machine Learning operations End to End
*We work with Cloud environment, Using Kubernetes and GitHub (Not mandatory, this is a chance to learn about it)
*Researching as part of the job.
Free training in Cloud tools + 8am to 5pm schedule Mon to Fri + End To End project responsibility + Awesome work environment. Sounds great, right?
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Senior Data Scientist | Veeva Systems |
Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care."Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.
Your analysis will shape the product roadmap for a new Link product focused on clinical trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.
We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.
You can work remotely anywhere in Germany, but you have to live in Germany and be legally authorized to work there without requiring Veeva’s support for visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it.
What You'll Do
Develop machine learning models at scale and in AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI to your platform
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at terminal scale
Requirements
4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Fluent in Python/Java and experience with bashing script
Strong analytical skills and data curiosity
Good English and strong communication skills
Experience in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset
Nice to Have
Background in clinical (trial) data
Experience in life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, or graph-processing
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes and relevant distributed computing for training and inference
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow
Perks & Benefits
Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund
#RemoteGermany
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
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Sr Data Scientist | Civis Analytics |
What we do
Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data with integrated open source tools. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Responsibilities
Designing, building, documenting, evaluating, and maintaining statistical models and related data pipelines
Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer to develop data science products
Following best practices with respect to engineering standards, including data privacy and security
Contribute to knowledge sharing and training across the company
Required Qualifications
5+ years work experience related to data science, statistics, or machine learning. This could include coursework or research in a quantitative graduate program.
Experience writing software tools for use by others in Python or R and willingness to work with both languages
US work authorization
Preferred Qualifications
Extensive experience with any of the following:
Machine learning engineering (e.g., developing and maintaining models in production)
Survey analysis methods (e.g., survey weighting) or causal inference methods
Political data or government data (e.g., Census Bureau data)
Extensive experience developing software in Python and R
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech organization focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Lead Applied Data Science Commercial Business | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities
Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)
Minimum Qualifications
Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment
Preferred Qualifications
Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Sr Lead Data Scientist | Banyan |
Sr./Lead Data Science
About Banyan
Banyan, the global infrastructure company for item-level receipt data, allows its partners to enrich transactions to create incredible experiences for their customers. Powered by Banyan’s APIs, merchants can seamlessly and securely share receipts, while unlocking powerful insights and unique marketing opportunities.
Banyan provides its merchant partners complete transparency and control over who can access receipt data and Banyan’s privacy-by-design approach requires consumers’ permission before any enrichments take place. This new ecosystem allows financial institutions, fintechs, and consumer apps to enrich their data with item-level detail, unlocking a new wave of innovation to drive improved customer experiences, cost savings, and new revenue streams.
We’re a growing team of more than 25 employees distributed across the US, with offices in New York and Chicago. Our investors include FinVC, TTV Capital, Motivate Ventures, and Manifold Group, and we have ambitions to become a major player in the future of fintech.
Overview
Our growing Analytics team is looking for our first Data Scientist to join our ranks, who can take on a “full-stack” role in building our data science infrastructure and partnering with other teams to build effective and impactful data science tools, such as our core receipt-to-transaction matching infrastructure and algorithms.
You’ll report to the Director of Product Operations & Analytics, and partner with product, analytics, data ops, and data platform engineering teams to understand key data science needs, develop KPIs, build roadmaps, and create models and deployment infrastructure.
We are searching for someone who is passionate about our mission, has the vision and desire to build from scratch, and can shape and manage a data science roadmap in a quickly growing product organization. The ideal candidate is excited to adapt to the evolving priorities of a growing startup – which may mean writing production-level code for our receipt-to-transaction matching infrastructure one day, while collaborating with data analysts or analytics engineers on key business analytics priorities the next.
What you’ll do
Build and maintain end-to-end modeling pipelines and infrastructure, in partnership with analytics and engineering teamsConduct model experiments and feature engineering to transform raw receipt, merchant, and transaction data into useful, high quality data for modelingDeliver actionable guidance and recommendations to internal product and business stakeholders to help understand nuances of the models built and tactics for improvingBecome the subject matter expert on Banyan’s data matching process, working closely with internal business partners to help customers better understand their dataCollaborate with our data platform team to identify valuable third-party data sources to augment our models
What you bring
4+ years of experience in data science, preferably in a tech company or startupProficient in Python, and the ability to design, develop, and test customized pipeline and predictive modeling toolsExperience developing and owning production-level models using real-world dataProficient in SQL, relational databases, and the modern data stack Experience with applied statistics and predictive modeling, with a structured framework for selecting the right modeling approach, tuning, evaluating model performance, and debugging modeling issuesGood communication skills (written and verbal)Attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive, and fairly autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude, interest in learning, and strong sense of empathy
Bonus points for
Experience or familiarity with entity resolution / record matching, or natural language processingExperience with ETL pipelines, batch/real-time data processing, and dbt or similar toolingFamiliarity with retail media, CPG, or financial transaction data
We recognize that many great applicants will come with differing levels of experience and backgrounds (or may not have worked with the specific tools in our stack), so if you are interested in the role and passionate about our company vision and mission, but feel discouraged because you don’t match all the items, please apply anyway – there’s a good chance you also have important skills we haven’t stated.
Benefits
Competitive salary and equityMedical, dental, and vision insurance plansFlexible vacation policyPaid parental leaveWork-from-home remotely, w/ occasional travel (job-dependent)Option to work semi-regularly in office if located near Chicago, IL or Holmdel, NJ officesLearning and development initiatives & assistance
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BANYAN is an equal opportunity employer and committed to providing employees with a work environment free of discrimination and harassment. All applicants 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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Epidemiologist Data Scientist | Kinsa Health |
Kinsa is looking for an Epidemiologist/Data Scientist with a background in public health surveillance, research methods, and health communication to join our data team. This is an exciting and highly visible role, working with the data science team to develop meaningful illness signals and alerting mechanisms, with our product team to share epidemiology subject matter expertise with health plans and directly to users, and with external collaborators to build Kinsa’s research agenda. The right candidate will have deep technical and statistical skills, as well as experience communicating complex topics and results to both general and scientific audiences.
The ideal candidate will be comfortable working cross-functionally with internal and external stakeholders. You thrive working in a scrappy startup environment and know how to balance competing priorities. Most importantly, you’ll have a genuine passion for Kinsa’s mission, and act as a force multiplier as we continue to grow our organization.
Kinsa was founded with a mission to stop infectious illness from spreading by knowing where and when it starts. Our mission has never been more important or more relevant than it is right now. Our real-time map of illness has been featured in the New York Times, on Rachel Maddow, CNBC, FOX News, The Economist, and The Daily Show with Trevor Noah. We are making headlines bringing our Data to the fight. We’ve done this by successfully transforming the first device you grab when sickness strikes - the thermometer - into a sensor to detect when and where illness is rising, and communicate with those who have just fallen ill.
These are a few examples of projects you will likely tackle in this role:
Use statistically robust methods to analyze Kinsa and external data to answer research questions to better understand user population, illness trends, and transmission patterns. Communicate results internally (reports, presentations) and externally (conferences, peer-reviewed journals).
Research and develop illness signals and outbreak detection capabilities using epidemiological methods and principles (ex. applying population weighting techniques to better represent incidence at the population level).
Collaborate with external partners who are conducting research on Kinsa’s data.
Write user-facing blog posts to explain public health concepts and empower users to make informed decisions about their health.
Serve as an infectious disease, statistical, and epidemiological subject matter expert across the organization to ensure accuracy of external communication across verticals.
About you/Core Skills:
MPH/MS in Epidemiology or Biostatistics or equivalent
2+ years of work experience in a setting analyzing population-level health data
Experience conducting research in academic settings, and disseminating research in peer-reviewed publications
Experience performing statistical analyses, such as sample size calculations, mixed model regression, and geospatial analysis.
Strong programming skills in SQL, R and/or Python.
Exceptional science communicator with written and oral skills, with ability to explain complex concepts to a variety of internal and external stakeholders (academic partners, general public, customers)
Track record of solving ambiguous problems and thinking under pressure, both individually and in a multifunctional team environment
Looking for an opportunity to come into a cutting-edge public health company and helping us shape our product offerings.
Experience adapting to a fast-paced environment, juggling multiple priorities and stakeholders
You might also have:
Experience deploying code in a production environment
Experience in health communication, education, or promotion
Prior work focusing on infectious epidemiology in the public sector, healthcare industry and/or early stage company
Experience building forecasting models
About Us:
There are four key characteristics of our team that we hope are traits you have as well:
Be Passionate: The Kinsa team is driven towards a goal that is bigger than themselves, they have a real passion in working toward a solution for a widespread social issue. Our work is stimulating, meaningful and has purpose.
Be Committed: We are committed to our mission. We have a tremendous opportunity in front of us: to change the face of public health and save hundreds of thousands of lives in the process. We are committed to working hard, working smart, working together, and doing what it takes to make a difference. Our time is now.
Be Efficient: We are a startup, and we are proud of our work so far but there is a lot more work to be done. Moving fast is the result of good planning, decision making, and execution.
Be Inclusive: Solving one of the most important public health problems of our time requires a mix of perspectives and approaches, which is why diversity of age, gender identity, race, sexual orientation, physical ability, religious belief and ethnicity are all welcome and greatly valued at Kinsa. We are as proud of our differences as we are of our shared passion for stopping the spread of infectious illness, and are always looking for people with varied viewpoints, skill sets, backgrounds and experiences to realize our mission.
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Senior Data Scientist | Infogrid |
Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.
Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.
Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!
We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.
Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.
The role
Using data science we are developing a platform to help building owners and managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.
We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.
In the Data Science Team We:
Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability
We Look For:
A strong academic background grounded in mathematics and statistics, or equivalent work experience
A fluent level in Python
A self-directing attitude and a growth mindset
Experience innovating new machine-learning products for real-time event-driven applications is desired
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factors
Experience deploying machine learning models in production environments is required
We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:
❤️ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offer flexible working hours before COVID and we’ll keep that flexibility afterward.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here
🌟 Improve yourself: We give everyone a day per month to focus on personal development
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.
And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.
|
Data Scientist | Infogrid |
Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.
Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.
Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!
We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.
Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.
The role
Using data science we are developing a platform to help building owners and managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.
We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.
In the Data Science Team We:
Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability
We Look For:
A strong academic background grounded in mathematics and statistics, or equivalent work experience
A fluent level in Python
A self-directing attitude and a growth mindset
An interest in innovating new machine-learning products for real-time event-driven applications
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factors
Experience deploying machine learning models in production environments is desired, and an interest in this is essential
We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:
❤️ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offer flexible working hours before COVID and we’ll keep that flexibility afterward.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here
🌟 Improve yourself: We give everyone a day per month to focus on personal development
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.
And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.
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Data Scientist | Atob |
Our mission
The trucking and logistics industry provides the backbone of the economy. But the payments infrastructure on which it runs is broken. For the hard-working men and women of this sector, the existing suite of payment tools is outdated, difficult to use, prone to fraud, and saddled with shady fee structures. The incumbent players in this space often overlook the economic and practical needs of this user base.
We're changing that. AtoB is building Stripe for Transportation — modernizing the payments infrastructure for trucking and logistics. Supply chains rely on the timely movement of capital to function efficiently. Our end game is a world in which that capital movement occurs fairly, smoothly, and without delay. As we pursue that end game, we aim to center our customers in every way — offering them world-class customer experience and building products that work with and around the unique constraints of their daily lives. We build for fleet managers in the office and drivers on the road. We strive for products that are efficient, satisfying, and useful. Our customers enable our modern economy — they deserve it.
Our history and background
Our founding team has backgrounds working on autonomous vehicles at Cruise Automation, leading ops and growth for Uber, engineering at Amazon, building apps that were featured on the Apple app store, working on small business credit at Square & Goldman Sachs, and completing other great projects.
We have raised over $100 million in venture capital from investors such as General Catalyst, Bloomberg Beta, Y Combinator; founders and CEOs of companies like Google (Eric Schmidt), Salesforce (Marc Benioff), Coinbase, DoorDash, Instacart, Mozilla, Wealthfront, Segment, Gusto, Figma; CxOs and founding team members of Uber, PayPal and Stripe; angels like Elad Gil, Naval Ravikant, Gokul Rajaram; and other funds such as Climate Capital, Contrary Capital, Collaborative Fund, Designer Fund, Human Capital, Leadout, XYZ Capital, among others.
We are excited to open up more seats in this rocket ship!
Learn more about our mission, culture, and background on our Careers Page.
About the Role:
We are looking for a customer-centric staff level Data Scientist to join our team.
You will help solve some of AtoB's most challenging business goals, through high-profile work and inspiring thought leadership. You'll get to flex your statistical and machine learning models skills to tackle problems like risk estimation and optimization, anomaly detection, and experimentation design and analysis for new algorithm/feature/product launches. You'll work with leadership and multi-functional partners to solve broader data science problems, create data science vision, and guide the team's direction through data-driven insights and algorithmic thinking.
In this role, you will:
Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
Work closely with multi-functional leads to develop technical vision and drive the team direction.
Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
Provide technical mentorship for engineers and junior data scientists within and outside your team.
Communicate with senior management and multi-functional teams.
About you:
M.S. or Ph.D. degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. Alternatively, a BS with 2 or more years of experience in relevant fields.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
Experience in algorithm development and prototyping.
Experience in ML tooling such as Airflow, Spark, etc.
Coding proficiency, and ability to develop statistical analysis and prototype algorithms in Python.
Proficiency in SQL, Python, Spark.
Preferred: Experience with productionizing algorithms for real-time systems
Preferred: Deep understanding of Bayesian modeling
Offer Details:
Bay Area compensation offered for all US and Canadian based employees.
We are a remote-first company, though we are open to US and Canada work visa sponsorship.
We offer competitive and comprehensive benefits along with unlimited PTO and 401(K) match.
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Senior Data Scientist Risk Operations | Kraken |
About Kraken
As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.
About the role
As a Data Scientist in Risk Operations, you will analyse data related to our clients and their
transactions to determine which signals are indicative of a wide range of fraudulent and risky activities,
including Payment Fraud, Scams, Account Takeover, Account Abuse, First Party Fraud, Phishing and
other threats to the trust and safety of Kraken and our clients. Using the results of this data analysis, you
will drive the development, deployment and monitoring of models that control transactions and other risky
activity on Kraken.com and our mobile apps.
In addition to working with currently available data, you will also identify and recommend additional data
and data sources that enhance the quality of decisions. You will work with the Risk Product Team and
Operations to drive integration of this data into Kraken Risk Systems. You will apply innovative,
entrepreneurial curiosity with technical knowledge, adept problem-solving skills, client insights and
operational insights to develop best in class decision capability to protect clients and stakeholders from
abuse across multiple different products and services. On this team, you're a resourceful, strategic team-
player with a passion for protecting the reputation of our brand.
●Model Development: Develop, deploy and monitor models that drive fraud related decisions
●Champion/Challenger testing: Validate data and model performance against output from
existing models and rules.
●R&D: Test new data, calculations and data sources for improved risk decisions.
●Platform Optimization: Work with Risk Product Management to optimize decision platforms and
related systems.
●Operations Optimization: Work with Client Engagement Team to determine the best scale
outcomes and actions driven by data, rules and model output.
●Business Intelligence & Communication: Devising and build Business Intelligence insights into
data, model and operations performance. Produce and deliver summaries of performance, issues
and gaps to wide range of audiences, including Executives, Product Management, Operations
and Compliance.
Requirements
●Degree in Math, Statistics or Operations Research (advanced degree preferred but relevant work
experience may suffice)
●Proven track record using advanced quantitative and statistical methods and tools to drive high
volume complex decisions at scale.
●Experience in financial services and payments, preferably in quantitative risk analytics with
evolving FinTech or similar environments.
●Experience with and working knowledge of SQL, SAS, R, Mathlab, Python and Machine Learning
tools and techniques.
●Ability to parse and analyze data from large structured and unstructured data sets
●Experience with BI platforms used to monitor and communicate data, model, rule, operations and
business results to a diverse audience.
●Experience working with Product Management and Engineering, preferably in an Agile
environment
●Advanced logical, analytical and critical thinking skills
●Strong attention to detail with a drive to solve problems, investigate issues, and creatively
optimize quantitative, operational and business results.
Nice to Have
●Advanced Degree in quantitative discipline
●Working knowledge of Crypto and related products and service
●Proven high quality communication and persuasive skills
●Experience managing teams responsible for analysis & modelling
We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.
As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Stay in the know
Follow us on Twitter
Catch up on our blog
Follow us on LinkedIn
|
Sr Machine Learning Scientist Nlp Expert | Olo |
Olo is a leading on-demand commerce platform powering the restaurant industry’s digital transformation and personalizing the guest experience to maximize customer lifetime value. Olo customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market.
The machine learning scientist & natural language processing expert we are seeking will be able to build and scale machine learning models to solve the many business problems emerging from Olo’s digital platform and ecosystem, with a focus on the NLP domain. You will maintain Olo’s existing ML applications and work closely with product managers/engineers to develop new features & new algorithm product to transform the restaurant industry.
You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC on the 82nd floor of One World Trade Center.
What You’ll Be Doing
Work closely with the product team, understand product objectives, translate ambiguous business problems to ML or other advanced analytical solutions
Maintain Olo’s existing NLP applications and develop new features
Stay up to date with new technologies in the field
Own the entire process from data acquisition, feature engineering/selection to model building, training, testing & monitoring
Work with and guide the engineering team to deploy the model
Communicate solutions in a simple, actionable way with a non-technical audience
Support communication with data visualizations
What We’ll Expect From You
MS/PhD degree in Math, Statistics, Computer Science, Operations Research or any other quantitative discipline
5+ years of real-world predictive modeling experience and 2+ years of hands-on experience in designing and developing enterprise-scale NLP solutions
Experience in setting up NLP models including data cleansing, feature extraction, model selection & ensemble methods, performance metrics & visualization
Hands on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
Proficient understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, sentiment analysis, etc.
Deep knowledge of popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP
Strong programming skills, preferably in Python
Ability to work independently in a fast-paced work environment
Communication skills with the ability to convey the message in business terms, highlight the business impact and opportunity, and correctly call out the right call to action
US citizen or Permanent Resident
Nice to Have
Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
Experience in building modern ML platforms a big plus
Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Kubernetes etc)
About Olo
Olo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand’s own website or app, third party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 300 brands, such as Applebee’s, Checkers & Rally’s, Cheesecake Factory, Chili’s, Dairy Queen, Denny’s, Five Guys Burgers & Fries, Jamba Juice, Noodles & Company, Portillo’s Hot Dogs, Shake Shack, sweetgreen, Wingstop, and more. Learn more at www.olo.com.
Olo is located on the 82nd floor of One World Trade Center. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental and vision care premiums, stock options, a generous parental leave plan, and perks like FitBits, rotating craft beers on tap in our kitchen, and food events featuring our clients' menu items (now you know why we give out FitBits!). Check out our culture map:https://www.olo.com/images/culture.jpg.
We encourage you to apply!
Olo is an equal opportunity employer and diversity is highly valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.
If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!
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Full Stack Data Scientist | Sensor Tower |
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.
We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.
We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, New Jersey, New Mexico, New York, Texas and Washington.
What You Will Do
You will produce prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
You will tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team
Present results of various data analysis
Experience We Want To See
You should have at least a few years of demonstrated paid, professional experience building and shipping data models for commercial software products.
You should have deep database skills including querying data and data structure manipulation.
Strong data analytics skills including adjusting data for bias, understanding various statistical modeling techniques and performing research/asking probing questions.
You know how to write code that is ready for production (Python and Ruby preferred)
You’ve owned projects from start to finish and know how to work cross functionally to produce rough timelines and project deliverables.
Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets
About Sensor Tower
Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Our benefits include:
- Flexible time off so employees can shape their time away from work.
- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
- Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
#LI-Remote
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Senior Data Scientist Product Analytics Marketing Loyalty | Slice |
Pizza is at the heart of our communities. From birthday parties to gameday potlucks, life’s special moments are bettered by the craftsmanship and tradition found behind local pizzerias’ counters. We’re here to make sure these iconic small businesses serve our communities for generations to come by giving them the digital tools and services commonly found at big chains. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?
The Role
Data at Slice is a centralized group reporting directly to our CEO and founder.
As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Product Analyst/Data Scientist who can provide data-driven insights to our leadership and executive team.
You will work on data science and product analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.
What you'll do:
Work closely with the Marketing and Business teams to build and execute a data-driven product roadmap
Define metrics and success criteria for new and existing company initiatives
Work cross functionally with the Finance, Go To Market, and Product teams to drive roadmaps and inform key strategic decisions
Define metrics and utilize dashboards to measure the health of our initiatives
Identify and clearly communicate actionable insights for cross functional stakeholders
Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions
What we are looking for:
MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
3+ years of total experience in a highly quantitative role
2+ years of experience as a data scientist
Working experience in statistics, experiment design and evaluation
Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
Impeccable communication skills and ability to share complex, uncertain results to an executive audience
It will be a bonus if you:
Have analytics experience working on loyalty, customer retention or marketing initiatives
About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 700+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
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Data Scientist | Khan Academy |
HOW TO APPLY
Attach your RESUME/ Linkedin URL AND the TASK in the 'Apply for this Job' section below and then click 'Submit Application'.
(BOTH submissions are required for application to be complete.)
TASK: SQL: Calculate Retention Metrics
ABOUT THE ROLE
Khan Academy is looking for an experienced data scientist to join our growing team. This role will partner with our India schools team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organisation to drive critical strategic decisions. This role will report to our Principal Data Scientist.
In this role you will:
Identify and measure success of our school team’s initiatives through goal setting, forecasting, monitoring and ongoing analysis of core outcome metrics.
Perform advanced exploratory analyses on large sets of data to extract insights about our teacher & learner behaviour and guide our decisions around investments and initiatives.
Work with our engineering teams to improve the tools and datasets and work self-sufficiently with data pipelines (e.g. ETLs) on an as-needed basis.
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of various programs and interventions.
Contribute to development of analytics tools and data applications to enhance data access for the schools success team.
Collaborate with efficacy researchers to provide curated datasets and/or dashboards for measuring learner outcomes
ABOUT YOU
You are someone with:
A passion for education and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3+ years experience in data science or analytics
Strong SQL foundations & ability to manipulate data using Python (preferred) or R. We are SQL and spreadsheets heavy
Strong data storytelling, visualization and communication abilities; prior experience developing BI tools is a plus
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)
Flexibility to travel to New Delhi
ABOUT KHAN ACADEMY
Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
ABOUT KHAN ACADEMY INDIA
Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content accessible in local languages and by working with large public school systems. Khan Academy is available in Hindi, Hinglish, Kannada, Gujarati, Bangla, Tamil and Punjabi.
PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team like a for-profit.
Competitive salaries
Remote-friendly workplace, i.e. option to work from home; Flexible schedules
Health and wellness benefits
Professional development focus
Paid time off and parental leave
Fun virtual events
LEARN MORE
Sal’s TED talk from 2011
Sal’s TED talk from 2015
A glimpse of our team: http://www.khanacademy.org/about/the-team
A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM
Our Hinglish content in action: http://bit.ly/khanacademyyoutube
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
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Data Science Intern Product Analytics Search Browse | 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.
About Our Internship Program
As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.
Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!
About The Internship
As a data science intern on the search & browse teams you will influence the product roadmap for search and browse, help to create superior UX for online thrifters, and learn about challenges in optimizing inventory discovery on the e-commerce platform. You will work cross-functionally with product managers, software engineers, and data engineers to derive insights from the data describing users’ online behavior; design, monitor, report, and help make decisions for A/B tests focused on product improvements; and run exploratory data analysis under the guidance of members of the data science team.
What We're Looking For
An ideal candidate is a good communicator, curious about e-commerce and interested in deriving unique insights about users’ online experience using ambiguous data. Knowledge of statistics, SQL and Python will help the candidate achieve success in this role. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. We are looking for candidates interested in doing a remote internship and living in EST timezone to have overlapping working hours with thredUP international data science team in Europe.
What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.
We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.
You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.
We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.
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.
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Data Science Intern Inventory Optimization | 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.
About Our Internship Program
As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.
Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!
About The Internship
As a Data Science intern on the Inventory Optimization team, you will work on challenging problems related to pricing assortment, inventory flow, and play a role in managing our complex, multi-sided marketplace. You will work cross-functionally with data scientists, product managers, ML engineers, and other business stakeholders to derive insights from complex data, create data visualizations, and model inventory dynamics. If you get excited about data-driven decision making and want to contribute to thrift culture, we’d love to hear from you.
What We're Looking For
An ideal candidate is a good communicator, curious about e-commerce, and comfortable working with messy data. Knowledge of fundamental statistics and prior experience working with SQL and Python will definitely help you in this role. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. You will have the option to do the internship in a hybrid fashion (part remote/part in-office at our Oakland HQ), or fully remote.
What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.
We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.
You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.
We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.
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.
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Data Science Intern Product Analytics | 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.
About Our Internship Program
As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.
Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!
About The Internship
As a Data Science intern in the Product Analytics space, you will add value to thredUP’s Product org and influence the Product roadmap. Our Product org is made up of teams working on exciting problems such as, “How do we knock the new customer experience out of the park?” and “How do we make it simple for customers to browse our best deals?” to name just a couple. You will work cross-functionally with Product Managers and other business stakeholders to derive insights from complex data, create data visualizations and dashboards, help design and analyze A/B tests, build models, and work on special projects under the guidance of members of the Data Science team.
What We're Looking For
An ideal candidate is curious about the many different facets of product analytics, isn’t afraid of messy data or ambiguity, and is a good communicator. You will thrive in this role if you have some previous experience with SQL and Python and have a solid background in statistics. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. You will have the option todo the internship in a hybrid fashion (part remote / part in-office at our Oakland HQ), or fully remote.
What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.
We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.
You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.
We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.
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.
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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 insights
Design, configure, and analyze experiments that drive business growth
Uncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Participate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level up
Improve our data systems and tooling to continually increase our analysis efficiency and data access across the company
Work 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 team
Ability to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations
Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth
Well-rounded skill set in statistics, machine learning, software development, and project management
Advanced knowledge of SQL and Python, and experience writing code in a collaborative environment
Prior 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 FORTUNE Change 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.
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Senior Data Analyst Scientist | Domestika |
At Domestika we are hiring a Senior Data Analyst/Scientist - Remote - Time Zone GMT, GMT +1 and GMT +2.
Would you like to join the team that keeps improving the learning experience and engagement in our creative Community?
At Domestika, we are creating an environment where data analysis is a driving force for our decisions and strategies. In our organization, our Analysts work closely with decision-makers to create and measure real impact.
Where will you land?
You will join our newly created Product Data team and collaborate on adapting your workplace and toolset. As a Senior Data Analyst/Scientist, you will work with Data every day, finding ways to interpret it so that it makes sense for our users.
What do we expect from you:
We are looking for people that can explain the insights and communicate them effectively. We believe in a Senior Analyst/Scientist as somebody that has good technical skills to work with SQL queries and Python notebooks.
Either during or after performing those technical tasks, the Senior Analyst/Scientist will expose its findings to second opinions and peer review and will humbly accept all the ideas that can drive to a better understanding and impact.
After this is done we want you to translate those results into insights and answers (even if there’s none) to whoever asked him, iterate on further questions, propose further research and improvements on the data we’re gathering, the processes we follow or anything you think it can help improve our efforts.
Who will you be working with:
You’ll not be alone, there’s an amazing team of Data Engineers that have built a great data stack and will help you in finding, extracting and cleaning the data you need. Whenever you need to automate or move something outside of the data laboratory, they can help you.
On the other side, you will drive impact by virtually sitting next to our business users and helping them to understand anything they need.
For your day-to-day life, a Lead Data Analyst will help you on connecting the dots: who to talk with, what are the top priorities, your duties as part of the Product Data team, and whatever it takes you to work at your best.
What can help you to reach those goals:
We are particularly interested in profiles with proven experience in the following areas/topics:
A/B testing (experimentation) and/or causal inference applicable to product management.E-learning environments and communities of practice/interest.E-commerce sites.
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses.It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other.Inspired by their thriving community, Domestika widened its reach by producing online courses for anyone interested in unleashing their creative potential and connecting with like-minded creatives from around the world.Domestika carefully curates the teacher roster and produces all the courses in-house, to ensure a high-quality online learning experience for everyone. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Responsibilities:
To wrap up all mentioned above:
Conduct and communicate Data Analysis for product stakeholders (Product Owners, Directors).Help define performance measurements such as metrics, KPIs or OKRs.Define event tracking (telemetry) following guidelines and good practices.Monitor the key metrics to spot any anomaly that could be affecting our service.Help define, design, estimate and monitor A/B tests for your assigned product teams.Create charts and dashboards that synthesize.Share with your peers all the relevant learnings, tools and hard skills you’ve got.Keep up-to-date data documentation that can be used by your stakeholders.Establish and promote the Data Analysis peer-review process.Promote and expand whenever possible the data culture.Explain, train and empower the business stakeholders to make data-driven decisions.Efficiently communicate with stakeholders to deliver impactful insights.Co-own analytical tools such as Periscope, Amplitude, Google Analytics.Proactively improve team delivery.
Requirements:
6+ years of experience as a Data Analyst preferably in a digital company, consumer apps.Track record of leading analytical projects.Ability to read and write complex SQL.Ability to write Python code in order to handle data analyses (pandas, numpy, matplotlib, seaborn, plotly, scikit-learn, XGBoost or similar), but the more the better.Strong organizational skills, attention to detail, and ability to effectively manage projects supporting multiple business partners.Preferably, a Math/Statistics/Physics/Comp SCI degree or equivalent.Based within the European time zone.English required at Full professional proficiency.
Would be a plus:
Familiarity with Analytics and Business Intelligence platforms - Periscope, Amplitude, Mixpanel, Google Analytics, etc.Experience in defining tracking events and tagging for Analytics.Ability to work independently, take the initiative, and have a high level of ownership.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.
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Senior Data Analyst Data Scientist Ua | Domestika |
At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the UA team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such Product Analytics & Data Engineering.
UA:
The UA / Performance Marketing team is responsible for setting & optimizing the acquisition strategy on all Domestika products. It is part of the larger Growth group reporting to the CMO.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- How can we automate and optimize our marketing activities?
- How can we predict the profitability of our campaigns?
- How can we measure the incremental value of other channels like SEO, Social Media?
- How can we model and measure the interaction effects of multi-channel marketing?Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Prediction & Attribution Knowledge. You have worked on problems that involve prediction or attribution problems. You can comfortably use Python/R to build a basic prediction or forecasting model, and also understand how to build optimization algorithms in a marketing context. You understand the fundamentals of attribution within marketing and the challenges around indirect measurement, and have some ideas on how to handle this.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience and/or passion for education technology, learning platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.More advanced skills in machine learning & programming, working with APIs, or data modeling & engineering experience.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.
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Senior Data Analyst Data Scientist Pricing | Domestika |
At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the Pricing team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such as Product Analytics & Data Engineering.
Pricing:
This analyst will be dedicated to the pricing team. The pricing & revenue team is responsible for setting & optimizing the pricing strategy on all Domestika products. It is part of the larger Growth group reporting to the CMO.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- How can we build a framework to measure, understand & forecast the impact of pricing changes?
- As we move forward to implement personalization and segmentation technology, how can we leverage these to bring more sophistication to pricing in Domestika?
- How do pricing factors influence the recurrence of purchases, user retention, and overall lifetime value of our users?
- How can we leverage pricing to maximize revenue, whilst balancing value and volume in the short and long term, and how can we measure & monitor this effect?
Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer-lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience and/or passion for education technology, learning platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.You have extra technical skills in R/Python, doing things like building time series models, attribution analysis, segmentation, or recommendation engines.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.
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Senior Data Analyst Data Scientist Courses | Domestika |
At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the Programming (Courses) team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such as Product Analytics & Data Engineering.
Programming:
The Programming team is responsible for setting and optimizing the strategy of our course development in Domestika.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- Which topics have a good market opportunity to develop courses?
- Once we launch a course, how can we measure its quality for our users?
- Can we predict and measure the incremental revenue of a course?
- With segmentation & personalization, how can we find the best course for each user?
Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer-lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience in for content / curation-driven platforms, learning & technology platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.More advanced skills using R/Python for machine learning & programming, working with APIs, or data modeling & engineering experience.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.
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Data Scientist | Semanticbits 5E4Fab02 58A0 4B28 B6Bf 0Db65Ee4B204 |
SemanticBits is a leading company specializing in the design and development of digital health services and the work we do is just as unique as the culture we’ve created. We deliver using Agile practices to help the government solve their most technically challenging problems. The systems we develop are used to improve the quality of healthcare delivered to millions of people and revolutionize the healthcare industry on a nationwide scale. SemanticBits is a remote-first employer and has been named a Top Workplace in 2021. As a government contractor, SemanticBits requires that candidates must be able to obtain a Public Trust clearance and show proof of COVID-19 vaccination or obtain a religious or medical exemption.
SemanticBits is looking for a Data Scientist eager to use advanced analytical and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. This position is open to a mid-level to principal professional depending on experience.
Responsibilities:
Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization)
Solid experience with SQL, Python and/or R and common data science packages - e.g. pandas, scikit-learn, matplotlib, ggplot, plyr, etc.
Dataset parsing, dataset merging, dataset analysis, dataset synthesis
Familiarity with controlled vocabularies (e.g. UMLS, SNOMED, etc.)
Strong knowledge of databases (relational, OLAP, and NoSQL)Experience with Medicare claims is highly desirable
Experience with the following technologies is also highly desirable: Jupyter, Spark, Apache Superset or other BI software, AWS cloud computing
Experience in the healthcare domain, or with quality data sets is highly desirable
Strong technical communication skills; both written and verbal
Ability to understand and articulate the “big picture” and simplify complex ideas
Strong problem solving and structuring skills
Ability to identify and learn applicable new techniques independently as needed
Qualifications:
Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or a related field and a minimum of five years of relevant experience or a Master’s degree with a minimum of three years experience
Candidate must reside in the United States
Flexible and willing to accept a change in priorities as necessary
Preferred Qualifications:
Experience working in the healthcare industry
Federal Government contracting work experience
Prior experience working remotely full-time
Computer vision experience
Physical and emotional requirements for the job:
This position is to be performed remotely from an individual’s home office and involves sedentary work. Employees in this role can be expected to exert up to 10 pounds of force on occasion in order to lift, carry, push, pull or otherwise move standard electronic equipment. Employees are expected to make decisions in a timely manner and display emotional intelligence during occasional stressful situations.
Benefits:
Competitive salary
Stipend for work station set up
Four weeks of PTO
Eleven paid holidays
One floating holiday
Comprehensive health benefits (medical with HSA option, dental, and vision)
Employer HSA contribution
401k retirement plan with matching benefit
100% paid short-term and long-term disability
100% paid life insurance
Flexible Spending Accounts (FSA)
Three weeks parental leave
Casual working environment
Flexible working hours
SemanticBits, LLC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. We are also a veteran-friendly employer.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 703-787-9656 x257 for assistance.
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Senior Data Scientist Analyst District Success | Khan Academy |
ABOUT KHAN ACADEMY
Khan Academy is a nonprofit organization on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a new type of learning institution that provides high-quality instructional and practice resources that empower learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students (and teachers) the resources to realize that they can learn anything.
WE ARE DRIVEN BY OUR COMMUNITY
Our students, teachers, and parents come from all walks of life and so do we. We are fun, diverse, quirky people that come from a variety of backgrounds. Our team includes people from academia and from high tech companies and tiny startups. We hire great people from diverse backgrounds and experiences, not just because it’s the right thing to do, but because it makes our company stronger. Valuing diversity, equity and inclusion is necessary for us to actualize our mission and truly impact the communities we serve. We believe that the best way to provide impactful education is to create a diverse team of people from different backgrounds, races, religions, genders, sexual orientations, ages, and experiences. We’re a hardworking team that’s passionate about helping learners and teachers around the globe! We strive to be world class in investing in our people and commit to developing you as a professional.
THE ROLE
Khan Academy is looking for an experienced Data Analyst/Scientist to join our growing team. This role will partner with our district partnerships team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions.
Identify and measure success of initiatives through goal setting, forecasting, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around investments and initiatives
Use your expertise in experimentation and causal inference to quantify the impact of various programs and interventions
Contribute to development of self-service analytics tools to enhance data access for the district success team
Work with our engineering teams to improve the tools and datasets we have for our district operations
WHAT YOU BRING
A passion for Khan Academy’s vision and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3-5 years experience in data science or analytics
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Knowledge about experiment design and causal inference
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions
Prior experience working with B2B or schools business is a plus
PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team extremely well!
Competitive salaries and annual bonuses
Ample paid time off as needed – we are about getting things done, not face time
Generous parental leave
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Affinity groups where parents, black and hispanic/latino, women and gender minorities, and LGBTQIA+ identified folks come together
And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life
Want to know more about us?
Sal’s TED talk from 2011
Sal’s TED talk from 2015
Our team: http://www.khanacademy.org/about/the-team
Our company values
Live & breathe learners
We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.
Take a stand
As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.
Embrace diverse perspectives
We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.
Work responsibly and sustainably
We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.
Bring out the joy
We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.
Cultivate learning mindset
We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.
Deliver wow
We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.
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Data Science Intern | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you'll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
We are looking for Research Scientist Interns to join our team. As a highly visual platform, we are committed to advancing the field of CV by innovating technologies to help match our buyers’ tastes with our seller’s unique inventory. We are seeking individuals passionate in Deep Learning and Computer Vision and Machine Learning. Experience in Diffusion models, Visual Language Models, Image captioning, Style transfer or Natural Language Processing is beneficial.
As the Research Scientist Intern, you will be responsible for making core algorithmic advances and applying these ideas in the dynamic world of E-commerce! At the end of the summer, we will strive to publish innovations at premier conferences such as KDD, NeurIPS, ICML, ICLR, CVPR, ICCV, WWW, WSDM & SIGIR! Do you find happiness in rapidly prototyping ideas and solving complex problems by adapting creative approaches that affect the experience of millions of users over the world? If so, this could be a great fit.
This is a full-time, temporary position reporting to the Director of Data Science and Machine Learning and the base salary range will be 60.00- 70.00 USD per hour. For this role, we are considering candidates based in U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Contribute to research that can be applied to product development.Develop proof of concepts and tackle problems through creative approaches.Identify baselines, datasets, experiments and metrics for your project.Work closely and collaboratively with Applied Scientists and engineers.Prepare technical reports and presentations. Engage with the academic community by presenting your work and speaking at conferences and events. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Enrolled in a full-time Ph.D degree program in Machine Learning or another related, quantitative field.Experience or curiosity about publishing papers at top-tier conferences.Strong analytical and quantitative skills. You are familiar with techniques in Machine Learning & Data Mining, in the topics mentioned above.Had some experience in and exposure to Computer Vision through coursework, projects, prior internships, or other work experienceStrong technical and programming skills and familiar with relevant technologies and languages (e.g. Python, Java, C++, etc.).Capability to review and write technical papers.Strong collaboration and communication skills and you make the engineers around you grow and learn.Trust in and dedication to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume
with us and feel free to include a cover letter if you'd like. As we hope
you've seen already, Etsy is a place that values individuality and variety.
We don't want you to be like everyone else -- we want you to be like you!
So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers
relevance, resilience, and longevity. We encourage people from all backgrounds,
ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity
workplace and is an affirmative action employer. We are committed to equal employment
opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual
orientation, age, citizenship, marital status, disability, gender identity or Veteran
status. If, due to a disability, you need an accommodation during any part of the
interview process, please let your recruiter know. While Etsy supports visa
sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones
within the location header of each job description. We're open to remote hires from all
U.S. states except Hawaii and Alaska.
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Senior Manager Customer Data Science | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
Etsy is seeking a Senior Manager of Customer Data Science to join our team!
Are you passionate about customer engagement? Do you love diving into data and insights to develop creative ways to acquire and retain customers?
We are looking for a person who is an innovative, analytical thinker and strong communicator, whose insights enable your teammates to develop valuable, highly effective programs to turn one-time users into loyal customers and increase purchase frequency. As the Sr. Manager of Customer Data Science you are establishing a brand new team within Marketing that will work with other functions and Product to help drive the company’s growth!
This is a full-time position reporting to the VP of Growth Marketing and the base salary range will be 176,000 - 228,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Lead the Customer Data Science team focusing on evolving Etsy’s customer segmentation, developing targeting strategies, and driving growth strategy across marketing channels Enrich customer data and develop user scores / propensity models in support of relevant targeting and messaging Drive Marketing automation, e.g. audience creation and reporting processes Work with Marketing Technology partners to handle technical aspects of key marketing systems and evaluate new technologies to improve and optimize marketing team performance Manage data related projects and represent the team on cross-functional and external/third-party initiatives Develop weekly and monthly experiment plans and make recommendations to increase engagement across key segments and channels Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
6-8 years minimum of quantitative work experience with large customer databasesHave a BA or BS Degree (In lieu of degree, 4 years of relevant work experience); an advanced degree in a quantitative discipline or equivalent work experience preferredNo stranger to translating business challenges into data analytics problemsExpertise in predictive modeling, and statistical analyses in generalDemonstrated experience with experimental designAdvanced Proficiency in SQL; must understand CTEs, window functions, etcExpert level experience with a scripting language (Python preferred)Solid experience in one or more languages for statistical programming (e.g. Python Analytics Libraries, R, SAS) Skilled with workflow automation tools and concepts like, cron jobs, Airflow, etc.Proven track record managing teams of data scientists, multiple projects, and timelines in a fast-paced environmentHigh aptitude for influencing decisions using analytics at a fast-growing firm, a leading consultancy, a financial services company, or similarKnowledge of data visualization tools (e.g. Looker, Tableau) a plusFamiliarity with leveraging APIs for data extraction purposes a plus
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume
with us and feel free to include a cover letter if you'd like. As we hope
you've seen already, Etsy is a place that values individuality and variety.
We don't want you to be like everyone else -- we want you to be like you!
So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers
relevance, resilience, and longevity. We encourage people from all backgrounds,
ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity
workplace and is an affirmative action employer. We are committed to equal employment
opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual
orientation, age, citizenship, marital status, disability, gender identity or Veteran
status. If, due to a disability, you need an accommodation during any part of the
interview process, please let your recruiter know. While Etsy supports visa
sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones
within the location header of each job description. We're open to remote hires from all
U.S. states except Hawaii and Alaska.
|
Data Scientist India | Token Metrics |
Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
As a machine learning engineer, you should demonstrate solid data science knowledge and experience.
A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Requirements
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
About Token Metrics
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
|
Senior Applied Data Scientist Media Mix Modeling | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities
A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:
Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context
As part of the Media sector practice:
Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities
Other job responsibilities include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists
Qualifications
Must have experience with Media or Marketing Mix Modeling
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Experience in designing and analyzing in-market survey research
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
|
Senior Data Science Manager | Cisco Meraki |
We believe that when passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. That’s the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!
Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
ABOUT THE ROLE
The Data Science team is a growing group that works closely with executives and leaders across the company to support the business strategy. As a Senior Manager of Data Science, you will develop multi-functional relationships and use quantitative methods to deliver value to the customers and enable data-driven product development. This would be an outstanding fit for a technical leader who has the ability to work autonomously, and can drive technical efforts building robust and resilient auto-scaling ML solutions. If you love to shape the vision and strategic role of Data Science, then this will be the role for you.
WHAT WILL YOU DO
Engage with Product and Engineering leaders to identify and deliver customer centric strategic analysis to find opportunities and support key Application domain product and business initiatives beyond the scope of supporting reactive requests.
Lead development of ML solutions collaborating with the Data Science Infrastructure team through every stage of ML workflow including data ingestion, model building, and model ops.
Collaborate actively with Product Management, Engineering and UX to measure the impact of product launches, including validating behavior tracking, defining success metrics, aligning on experimental approaches and communicating metrics impact
Work with partners across organizations to improve data infrastructure, enrich dataset and improve data quality to support ML solutions at scale
Manager and guide a team of Data Analysts and Data Scientists and provide guidance on technical models and analyses produced by the team.
WHAT SKILLS YOU POSSES
8+ years of Data Science experience for software products, e.g. networking software, online shopping, social site, streaming services, gaming, etc.
Minimum of 2+ years of experience of building and retaining a high-performance and diverse Data Science team in a formal capacity
Masters/PhD in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative field preferred.
Demonstrated leadership across managing high visibility projects and solve problems quickly with minimal oversight
Outstanding problem solving, technical and data science skills
Strong written and oral presentation skills and able to communicate sophisticated concepts to various audience
Attention to details and balance operation and strategic perspective of running data science organization
Proficiency with Excel, SQL, Statistical modeling, web analytics tool, and Python (or R)
BONUS POINTS FOR:
2+ years of experience in Networking Product domain
2+ years of experience lead technical decisions and design discussions
We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility! We will help you pick them up because we believe that great engineers come from diverse backgrounds.
At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Message to applicants applying to work in the U.S.: When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
Compensation Range: $166,700 - $269,600
#LI-Remote
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Lead Data Scientist | Mntn |
At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Targeting team, you will guide the analysis, methodologies, prototypes and evolution of our audience targeting system. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:
Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.
What You’ll Bring:
6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.
MNTN Perks
100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development
About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
#Li-Remote
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Assistant Director Data Science | Liberty Mutual |
The Global Retail Markets (GRM) Product Pricing Sophistication research team mission is to discover and provide new ways to advance the sophistication of our price modeling and ignite innovation across Product, Design and Modeling and Global product design. The team is seeking a skilled and experienced data scientist to work as an individual contributor, with focus on machine learning engineering (MLE), to lead and support research projects.
The successful candidate will have a proven track record of working effectively with highly talented professionals to develop creative solutions to complex problems, be comfortable with data handling, modeling, coding, deployment and have an appreciation of what makes sense from a business standpoint. We are looking for data scientists, with focus on machine learning engineering, that are comfortable with model deployment and monitoring at scale. Solid technical skills with machine learning engineering are critical to the role, and the individual we hire will work very closely with the team and business stakeholders as we work to test and implement new ideas.
Responsibilities:
Lead deployment, monitoring, and maintenance of research models for business use cases.
Research the latest advancements in the field of MLE and MLOps and help keep the team on the cutting edge for the field.
Help establishes project plans, ensures quality deliverables within agreed upon timeframes, communicates results and makes recommendations to address issues
Provides strategic input and thought partnership on complex projects and business issues
Collaborates with analytical peers and counterparts across Liberty Mutual and GRM to stay on top of business trends and analytical best practices
Collaborates to identify new strategic opportunities for use of theoretical methods and tools. Applies forward-looking thinking to inform methodological advancement. Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
Responsible for larger components of highly complex projects. Guides aspects of project design as a technical consultant for the team.
Customizes analytic solutions to specific client needs.
Regularly engages with the data science community and leads cross-functional working groups.
Ideal candididate will have:
Proven engineering and analytical skills, as normally acquired through an advanced degree in Computer Science/Software Engineering, and 2+ years of relevant experience, or may be acquired through a bachelor’s degree and 4+ years of relevant experience.
Strong demonstrated background in programming (Python highly preferred) for Machine Learning/Deep Learning models with the ability to build, deploy and monitor models of moderate complexity outside of academic setting.
Proven track record in participation and project management of modeling projects. Ability to exercise discretion and apply independent judgment and well-developed critical thinking skills in innovation, problem solving and execution of projects.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely to technical and business leaders, both verbally and in writing.
Ability to establish and build effective relationships within and across functional groups
Job Specifications:
Reference: 2022-53279
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$134,000.00-–-$189,600.00-/-Year
Education Level:
Travel: As Needed
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Senior Research Scientist | Opendoor |
About the Team
As a Senior Research Scientist at Opendoor, you will partner with Product, Engineering, and Operations to drive the business forward with data. You’ll set up data and measurement strategies to understand the state of our products and operations, understand if any new initiative achieves positive impacts through experimentation and causal inference, and build machine learning and optimization models.
Role Responsibilities:
Define the data strategy, including creating metrics with existing systems to understand our products and policies, and designing the next generation intelligent systems to improve our real estate pricing and operations practices
Build models and policies to help teams achieve their business objectives
Design experiments and conduct causal inference to determine effect of our initiatives
Become a domain expert in real estate
Skills Needed:
Expertise in statistical inference and machine learning modeling
Proficiency working with complex and fast evolving data sets
Experience in product analytics and experimental design
Strong written and verbal communication skills to influence non-technical audiences with analytical insights
5+ years of industry experience with advanced degree in a quantitative field
Proficiency in SQL or any other database languages and numeric programming in Python, R or other languages
Bonus Points:
Fraud or incident detection
Working with hardware and sensor data
Time series analysis and forecasting
Optimization under uncertainty and risk management
Compensation:
Remote roles in the US: The base salary range for this position in Colorado, Connecticut, Washington, and New Jersey is $164,000 - $253,000 yr, and in California and New York City is $164,000 - $253,000 yr. Base salary may vary depending on relevant experience, skills, geographic location, and business needs. We offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.
#LI-Remote#LI-SL3
More About Us
To learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.
We Offer the Following Benefits and Perks
• Full medical, dental, and vision with optional 85% coverage for dependents
• Flexible vacation policy
• Generous parental leave
• Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.
Opendoor Values Openness
Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.
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Summer Internship Data Science Music Mission Us | Spotify |
The Music Expression team is focused on enabling creative expression through and around music and video by artists, aspiring creators, and fans. Our products are used at scale -- over 1,000,000 active artists in Spotify for Artists and more than 380,000,000 listeners.
We are looking for a Data Scientist Intern to Join The Band and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deep understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will affect the way the world experiences all forms of music expression.
What you'll do
Perform analyses on large sets of data to extract practical insights from both the creator and consumer experience that will help drive decision-making across the business.
Define metrics and help set goals to align different stakeholders and work streams on how to measure our success and progress.
Build dashboards, data pipelines, and recurring reporting results, providing insight into how our products are being used and identifying new product opportunities.
Communicate data insights and recommendations to key collaborators.
Work closely with cross-functional teams of product owners, marketers, user researchers, engineers, designers, and others across the company who are passionate about Spotify’s success.
Be a member of the Spotify-wide data science and insights community.
Who you are
Pursuing a degree (Bachelor’s or Master’s) in Computer Science, Statistics, Mathematics or fields that prominently feature the application of statistics, such as Physics, Economics, Biology, or Psychology.
Have a graduation date of 2023
Currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023.
Possess strong interpersonal skills and comfort working with partners across fields.
Harbor a passion for numbers and the use of data to make decisions.
Experienced in cleaning and performing analyses with large datasets and coming up with thoughtful answers and impactful insights.
Proficient in Python and SQL and experienced with data visualization tooling (e.g. Tableau, Looker)
Familiar with dbt, Airflow, or similar data transformation tools.
Experienced with A/B testing methodologies and various analysis techniques, such as significance testing, regression, statistical modeling, or machine learning.
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 Americas region in which we have a work location. Preferably in New York.
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.
Working hours? We operate within the Eastern Standard time zone for collaboration.
Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is February 27th, 2023 at 10AM EST.
The United States hourly rate for this position is 33.00 USD (Undergraduate First Year & Sophomores), 42.00 USD (Undergraduate Juniors & Seniors), 49.00 USD (Masters) & 58.00 USD (PhD) per hour plus a one time intern stipend of 2,253 USD. This position is overtime eligible. These rates may be modified in the future.
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.
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Summer Internship Data Scientist Experience Mission Emea | 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 Scientist Interns to Join The Band and help drive a data-first culture across Spotify. Our Data Scientist mission is to turn terabytes of data into insights and get a deeper understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will impact the way the world experiences audio.
What you'll do
Perform analyses on large datasets to extract practical insights on the user experience that will help drive decisions across the business.
Build dashboards, data pipelines, and recurring reporting results, empowering creative growth and business decision making.
Communicate data-driven insights and recommendations to key collaborators.
Work closely with multi-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success.
Be a member of the Spotify-wide data-science community.
Who you are
You are pursuing a degree (Bachelor’s or Master’s) or bootcamp certification in Statistics, Mathematics, Computer Science, Engineering, Economics, or another similar quantitative subject area.
You have a graduation date of 2023 or 2024
You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023
Strong interpersonal skills and comfortable working with partners across disciplines
You harbor a passion for numbers and the use of data to make decisions
Experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling
Familiarity with A/B testing methodologies
Proficiency with Python, R, or similar programming languages
Proficiency in SQL (We use Google BigQuery)
Experience performing analysis with datasets and generating relevant answers and impactful insights
Nice to have: experience with data visualization tooling (Data Studio, Tableau, etc.)
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.
Prefer an office to work from instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Central European time zone for collaboration.
Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is February 21st, 2023 at 12 PM CET.
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.
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Lead Data Analyst Scientist | Domestika |
At Domestika we are hiring a Lead Data Analyst/Scientist - Remote - Time Zone GMT, GMT +1, and GMT +2.
We are hiring a Lead Data Analyst/Scientist for the Growth data team!
This position is remote-first (within EU time zones) with the possibility to come to the office (Barcelona, London, or many others!) depending on global health factors. Fluency in English is required for the role, basic Spanish fluency is also welcome.
At Domestika, we are creating an environment where data analysis is a driving force for our decisions and strategies. In our organization, our Analysts work closely with decision-makers to create and measure real impact.
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses.
It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Inspired by their thriving community, Domestika widened its reach by producing online courses for anyone interested in unleashing their creative potential and connecting with like-minded creatives from around the world.
Domestika carefully curates the teacher roster and produces all the courses in-house, to ensure a high-quality online learning experience for everyone. Today, the online community is home to over 8 million people from around the world who are curious and passionate about learning new creative skills.
Where will you land?As a Lead Data Analyst/Scientist in the Growth Data Team, you will lead a team of Senior Data Analysts and will help them to grow both professionally and personally. Besides sharpening and multiplying their analytical skills, you will help them to schedule, prioritize, define scopes and deliver value to their business stakeholders.
We also believe in leading teams by example, so we expect you to be a hands-on leader, willing to get your hands dirty in the datasets, models, queries, and everything that your team needs support on.You will also coordinate with the other data leads to work on key analyses and projects that are considered to have the highest impact, and risk, or that have broader application scope.You will be periodically reporting to the Data Director about the progress of the team and will spot and anticipate the main challenges, risks, and blockers that you are facing to perform your work.
What do we expect from you?
We are looking for somebody that shows both good technical and people skills that can empower a Senior Data Analytics Team and help them reach up to their top performance by providing them the tools, time, and purpose for their daily activity.You’ll try to anticipate their needs and limitations, and also help the Data Director on creating a career path for the whole of the team. That may involve collaborating on building a network of relevant people in the organization to best serve the Growth Data needs.In order to be hands-on, you need to have good technical skills to work with git, SQL, Python, and/or R notebooks and code.Considering that you’ll also be frequently in touch with the Data Engineering team, you will also need a clear understanding of how ETL pipelines work, among other Data warehousing and Data Engineering related topics.Understanding how Data Science, Machine Learning, and Artificial Intelligence work, or having some common understanding of other Data and Software Engineering related topics such as Frontend, Backend, and Mobile development will be a plus.Finally, you’ll ensure that other non-data, non-technical profiles in the company can transparently get access to the tools they need to do their job so that they can feel empowered to perform data-driven questions and eventually get them answered. This may involve preparing and performing learning sessions for people from other departments.
What can help you to reach those goals?
As a Lead:
Proven experience for at least 2 years leading a team of at least 3 peopleExperience applying agile methodologiesScrum or any other agile methodology certification is a plusCommunication and leadership skills
As a hands-on Lead Analyst we are particularly interested in profiles with proven experience in as many of the following areas/topics as possible:
Google Analytics and Amplitude event tracking/telemetryUser attribution and User acquisition (experience with AppsFlyer is a plus)CRM and Marketing automationMarketing budget allocation algorithmsIncrementality measurementPrice elasticity modelsChurn / LTV modelsUser segmentationRecommendation systemsProduct management with a clear focus on data tools
Requirements:
3+ years of experience as a Data Analyst preferably in a digital company, consumer apps2+ years of experience as a Lead of at least 3 peoplePeople, communication, and leadership skillsTrack record of leading analytical projectsAbility to read and write complex SQLAbility to write Python code in order to handle data analyses (pandas, numpy, matplotlib, seaborn, plotly, scikit-learn, XGBoost or similar), but the more the betterStrong organizational skills, attention to detail, and ability to effectively manage projects supporting multiple business partnersPreferably, a Math/Statistics/Economics degree or equivalent.Based within the European time zoneEnglish required at Full professional proficiency
Would be a plus:
Familiarity with Analytics and Business Intelligence platforms - Periscope, Amplitude, Mixpanel, Google Analytics, etcExperience in defining tracking events and tagging for AnalyticsAbility to work independently, take the initiative, and have a high level of ownership
What do we offer?
Working in one of the leading companies in the creative industryA fun, creative, collaborative, and multicultural teamDomestika Staff Account to have access to all of our courses for freePossibility to work remotelyPrivate health insuranceA salary according to your experience and profile
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Bioinformatics Scientist | Color |
Color is a health technology company that makes population-scale healthcare programs accessible, convenient, and cost-effective for everyone. We have raised $100 million in Series E funding, bringing our valuation to $4.6 billion and our total raised amount to $378 million. We work with governments, public health institutions, employers, and national health initiatives around the world to provide the tools for preventive health and infectious disease management, including testing, vaccinations, and other services.
Apply to join Color and do the most meaningful work of your career. If you are not sure that you’re 100% qualified but are up for the challenge - we want you to apply!
What we offer:
💰 Competitive salary
✨ Comprehensive medical, dental, vision, life, and disability benefits. Including employer HSA contributions.
📈 401k match
📝 Monthly lunch, phone, and wifi stipend for remote employees
🏝 Generous vacation policy, paid holidays, and company-wide recharge days
💌 Monthly stipend to spend on your well being
🍼 Equal paid parental leave for birthing and non-birthing parents
🧬 Four complimentary clinical-grade genetic testing kits for you and your family
The Bioinformatics team at Color is composed of folks with diverse previous experience in next generation sequencing (NGS) technologies, genomics, big data, cloud computing and machine learning. We are responsible for building the clinical NGS analysis pipeline, identifying novel classes of genomic variation, building tools for genomic interpretation and collaborating with R&D lab scientists to bring new products to market. As Color expands our genomics platform in new and exciting directions, we are continuing to bring on top talent in bioinformatics.
We are seeking a strong scientist with deep experience in genetics, bioinformatics, and NGS technology to grow this team. Ideal candidates will bring expertise, humility and a strong intellectual curiosity to our overall mission of democratizing access to genetic information.
How You’ll Contribute:
Generate and pursue novel ideas for genetic testing.Introduce and incorporate emerging computational methodologies in our bioinformatics codebase. Collaborate with laboratory scientists and data scientists to translate R&D work to clinical production analyses.Act as domain expert both for internal and external collaborations.Assist in troubleshooting with our high-throughput clinical laboratory.
Our Ideal Candidate Will Have:
You have 5+ years of experience as a bioinformatics scientist or computational biologist (or equivalent role). You are intimately familiar with standard bioinformatics tools (BWA, GATK, DeepVariant, etc.) and have experience working with advanced bioinformatics concepts such as graph alignment, genotyping of complex haplotypes, etc.Intermediate proficiency in Python is required. You maintain a high bar for quality of code and work aggressively to eliminate unnecessary duplication and awkward workarounds.You understand how to evaluate scientific publications/presentations in terms of underlying challenges and potential impact.You effectively communicate technical information to both technical and non-technical collaborators: you identify core challenges in complex situations, explain trade offs, and incorporate feedback to make decisions using code reviews, docs, wikis, meetings, and other channels as needed.
Nice to Have:
You have analyzed large sequencing datasets to identify variants across the full spectrum of size and complexity (SNV/indel, CNV, inversions, mobile element insertions, haplotypes).You are familiar with a variety of sequencing platforms: short-read SBS, linked-read, long-read, optical mapping, etc.You have experience shipping code in a clinical production environment (GitHub).You are familiar with high performance and distributed computing systems (AWS, GCP).You have experience running pipelines using workflow engines such as Toil and workflow languages such as CWL or WDL.You have successfully employed relevant concepts from data science (machine learning, imputation, etc.) on biological data.You are familiar with CAP and CLIA guidelines.You understand the key concepts in pharmacogenomics.
Possible Projects To Contribute To:
Define our next clinical product and generate proof-of-concept data.Adopt algorithms that enable extracting additional actionable clinical insights from sequencing data.Drive our scientific progress as a domain expert, with internal and external collaborators.Create a basic bioinformatics pipeline to evaluate a novel sequencing platform.
#LI-MY1
#LI-CRE
#LI-REMOTE
Color is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations. We are also committed to providing reasonable accommodations for qualified applicants with disabilities in our recruitment process.
Mandatory Vaccination Policy Disclosure
COVID-19 Vaccination Requirement: Color requires anyone working onsite or visiting Color’s offices to confirm they are fully vaccinated against COVID-19 unless a medical or religious accommodation is timely requested and approved. Please reach out if you have questions or concerns about this policy and how it may apply to your candidacy for a role with Color.
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Associate Data Scientist | Infogrid |
Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.
Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.
Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!
We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.
Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.
Using data science we are developing a platform to help facilities managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical - for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.
We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.
In the Data Science Team We:
Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as EngOps, front- and backend-engineering teams, sales, operations, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability
For This Role We Look For:
A strong academic background grounded in mathematics and statistics, or equivalent work experience
A strong level in Python, or a reasonable familiarity with Python and demonstrable strength in several other languages
An interest in innovating new machine-learning products for real-time event-driven applications
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factorsAn interest in the deployment of machine learning models in production environments
What You Would be Doing:
Working in cross-functional teams to develop new and innovative products based on machine learning and statistics
Working collaboratively to ensure products are developed in line with customer interest
Working with others to plan and implement project work with guidance
Spending one day a week on a structured learning programme
We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:
❤️ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterwards.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here.
🌟 Improve yourself: We give everyone a day per month to focus on personal development.
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely.
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.
And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.
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Data Scientist | Vevo |
Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.
Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 26B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.
Vevo is available on YouTube, Samsung, Samsung TV Plus, Amazon Fire TV, Amazon Echo Show, PlutoTV, Apple TV, Roku, Comcast (Xfinity X1 and Xfinity Flex), VIZIO, Sky (NowTV and SkyQ), Foxxum, XITE, NetRange, Redbox, T-Mobile Play, Virgin Media, Xumo, Telstra and Vewd.
The Data Science team’s mission is to harness the power of Vevo’s data to provide better experiences for Vevo’s end users, advertisers, artist & label partners, along with deep insights for internal business groups.
This team is also the champion of experimentation and the scientific method, helping to bring data science methodologies to an ever-growing number of business domains.
If this job description is not a perfect match, but you are passionate and skilled about data science and music video, you are encouraged to apply. Qualified candidates with non traditional backgrounds will be considered if they are a good fit.
This is a full-time position and is a remote role.
As a member of our team, you will
Work as part of a team member of one or more ‘squads’ focused on tackling some of Vevo’s most important challenges
Be given a huge potential to innovate in a green-field space: music video offers a unique opportunity for experimentation at scale, building on learnings gleaned from both the music and video verticals
Have a big impact on decisions across all areas of Vevo’s business, including content development, marketing & promotion, advertising and monetization
Become a trusted advisor to our senior leadership team, and help grow Vevo’s industry profile through targeted public speaking opportunities
This describes you
You have a successful track record deploying data science frameworks and approaches in ‘greenfield’ environments, working with a range of stakeholders
Proven experience with a variety of ML packages and technologies in python, such Deep Learning (TensorFlow, PyTorch, GANs, RNNs, CNNs), NLP (HuggingFace), Decision Trees (RF, XGBoost), and SciKitLearn packages, for both supervised and unsupervised tasks.
A comprehensive understanding of the advantages, disadvantages, and limitations of the most common ML algorithms, with strong knowledge base and intuition for the best choice for a given application.
You’re not shy about handling your data needs and have a solid grasp of SQL and distributed data ETL processes (preferably in Scala / Spark) such as MapReduce, filters, aggregations and joins.
You have a solid grasp of statistics and how it enables data scientists to solve business problems
You thrive on working in an agile team environment
You enjoy music and internet video and possess a deep curiosity for creating music entertainment experiences as well as harnessing the power of data to unlock growth opportunities on global distribution platforms such as YouTube
Passionate about making a business impact
Requirements
At least 2 years of experience working as a data scientist
Excellent written and verbal communication skills, with a successful track record of collaboration and influence within a fast-paced environment
Passion for data science advocacy and education
Interested? Great! You might like to know
We are a fun, energetic tight-knit team with a passion for music and technology
In office/external happy hours
Remain up to date with new technology including hosting/attending meetups
Excellent benefits package
Competitive compensation packages
Premier access to music content and new releases of original media content
Concert ticket giveaways
401k Match
The pay range for this position is: $110k - $130k per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
This is a full-time position based on-site/in the office (unless otherwise noted in the job posting that this role is fully remote). Vevo will operate in a hybrid work model and will require employees to be in office 2-3 days a week, on average.
Vevo considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, age, disability, genetic information, veteran status, or any other legally protected status under local, state, or federal law.
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Senior Data Scientist Nlp | Icertis |
With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.
Who we are: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination
We are looking for multiple Senior Data Scientists. The Senior Data Scientist is a detail oriented forward-thinking individual who is an expert in natural language processing, can apply existing approaches and devise new approaches and algorithms for retrieval, information extraction and language understanding. The desired candidate will be at ease with contemporary machine learning, natural language processing frameworks and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale. When no suitable approaches are available, the desired candidate can craft new and innovative machine learning and language processing solutions. Knowledge of enterprise level software architecture and components is a plus though not essential. The desired candidate will have strong verbal and written communication skills, be effective in interacting with technical and non-technical professionals and be comfortable with working in a team. This position can work remotely in the US. #LI-REMOTE
What You Will Do:
Evaluate, apply, and create machine learning and natural language processing algorithms and solutions to develop the next generation of contract analysis and synthesis capabilities.
What You Will Bring:
10+ years of total experience with 6+ yrs of exp in AI/ML & NLP.
5+ years experience in NLP.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP.
You should have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.
Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
Excellent verbal and written communication skills.
Ability to work with minimal supervision and guide junior members of the team.
Base Salary Compensation:
Min $ 195,000
Max $ 293,000
In addition to the base salary an annual target bonus and equity component is included in the compensation package.
What we offer:
We are committed to the health and well-being of all Icertians, their families, the communities they live in, and our customers. This commitment is represented in the Icertis “Four Rings of Responsibility”: Take Care of Self, Take Care of Family, Take Care of Community, and Take Care of Business, in that order.
To support these commitments, Icertis offers excellent health and welfare benefits, a generous 401k match, and a robust paid time off program. Here are some of the other reasons we’ve been named a Top Company to Work for by Seattle Business Magazine for the fifth year in a row!
•Equity (RSUs) and shared ownership in the company
•Flexible work location (role dependent)
• Paid maternity and paternity leave
• 7 Days for Humanity in 2023 – paid volunteer days
• Generous holidays including the 4th of July week off – paid
• Extensive remote onboarding program and virtual employee engagement events
This specific role might not be for you, but maybe you have a friend who would be a perfect fit. Please forward this opportunity to anyone who wants to help Transform the Foundation of Commerce!
Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to [email protected] or get in touch with your recruiter.
By submitting your application you acknowledge that you have read Icertis’s Privacy Policy (https://www.icertis.com/privacy-statement/)
Icertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
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Staff Data Scientist Advertiser Platform Analytics | Reddit |
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:
Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
What You’ll Do:
Act as an owner by partnering with the Ads Platform team on product development
Become an expert on the advertiser experience at Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Platform team
Learn how Advertisers interact with the Reddit platform and research how their experience could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate
Who You Might Be:
5+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $297,300
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Data Science Manager Ads Machine Learning | Reddit |
We are looking for a manager to be a part of the Ads Data Science team and lead a small group of machine learning and analytics data scientists. You will work closely with engineering managers, engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has a solid business acumen and understands what is important to advertisers.
Responsibilities:
You will start off with leading a team of 4-5 data scientists with some specializing in Machine Learning and others in analytics. The expectation is to scale the team to ~10 in 2023.
You will build optimization algorithms that improve ad yields and efficiencies. Our optimization models were hugely successful in the last 12 months and as a result we are increasing our investment in this area.
Along with building ML models, you will be a key strategic player in defining the roadmap for the ML efforts for the entire Ads Org. Your roadmap will not only achieve immediate business goals, but also dictate our long term strategy for optimization and marketplace efforts.
Manage and nurture a team of talented Data Scientists and have a keen interest in shaping their careers.
Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
Design and build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks!
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data, along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Work closely with our sales and marketing partners to ensure that ads are set up in a way that amplifies the benefits of your optimization models.
Required Qualifications:
Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning
2 years of Prior experience working as a Tech Lead or a Data Science Manager. Willing to consider candidates without prior management experience.
5+ years of experience in quantitative/modeling roles, preferably for a consumer-facing service/app
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Experience building Ads optimization models is preferred but not required
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $297,300
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Sr Data Scientist Product Analyst | Classdojo |
ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you'll do:
Data is core to how ClassDojo makes informed choices. As our next senior data scientist, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestone: serving 100 million+ families, and 100 million+ in revenue, while deepening love for our brand.
The data science function at ClassDojo is an equal partner to product, engineering and design. As a senior on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy across our entire business.You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.
Drive orders of magnitude of growth in ClassDojo's network and revenue growth
Design and evaluate product experiments and improvements, working with cross-functional teams to translate insights into action
Define product strategy and direction, in collaboration with cross-functional peers
Empower teams with the skills and tools to get their own insights\
You will be a match if:
You have at least 4 years of data science experience
You might be a good fit if:
You have 5+ years experience in a data science or similar role at a consumer company, ideally with a stint on a high quality growth team
You have good business judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast
Bonus:
Experience with data pipelines: transforming raw production and external data into user-friendly tables.
[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Olo |
At Olo, we are metrics obsessed, striving to learn and evolve; hence, data is a core component of empowering our customers and partners, as well as internal decision-making. The data intelligence team partners with product, engineering, finance, marketing, sales, and customer success and thus require pivotal cross-functional leadership and collaboration across all levels of the business.
The Data Scientist provides our customers, partners, and internal stakeholders with insights and industry trends, including the usage, health, and return on investment of the Olo platform.
You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC.
What You'll Do
Use statistical methods to measure incrementality and build ROI case studies
Design and perform A/B test
Define and own key metrics such as customer retention, customer conversion, and customer lifetime value with key business partners internally
Work with important internal partners across Product, Engineering, Customer, and Finance teams, help define key SaaS business metrics, uncover data patterns and generate actionable data insights
Partner with our teams to propose and develop new data products and tools, including data dashboards and models.
Communicate findings to a wide range of internal business stakeholders through an approach that facilitates learning, prioritization, and action
Work, as part of an organization-wide data governance team, to determine policies and rules to ensure data quality and operational security
What We'll Expect From You
Bachelor’s Degree in any quantitative discipline, such as Statistics, Mathematics, or Operational Research
4+ years of work experience as a data scientist using advanced statistical methods
Proficiency in writing advanced SQLs and a good understanding of RDBMS
Proficiency in Python programming
Working experience using at least one BI/data visualization tool (e.g., Looker, Tableau, etc.)
Demonstrable product sense and business acumen
Passion for analyzing data to find meaningful insights and speaking to them
Top-notch communication and the ability to educate a range of stakeholders, from individual contributors to senior management and executives
About Olo
Olo is the engine of hospitality powering the restaurant industry's digital transformation. As a leading open SaaS platform, we enable over 600 restaurant brands to jointly reach 85 million connected guests across approximately 84,000 locations. More than two million orders per day run on Olo's platform, allowing brands to maximize the convergence of digital and brick-and-mortar operations while raising the bar on hospitality. The result: brands do more with less and make every guest feel like a regular. With integrations to over 300 technology partners, our customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market. You have likely used Olo and not even known it! Learn more at olo.com.
We’re remote-friendly. Since 2015, we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely across the U.S. If you're in the New York City area, you can choose to work remotely or from Olo's headquarters, located in Tribeca.
We offer great benefits, such as 20 days of paid time off, 10 separate sick days, 11 holidays plus year-end closure, fully paid health, dental and vision care premiums, a 401k match, remote-office stipend, company equity, a generous parental leave plan, volunteer time off, gift matching policy, and more!
Our best estimate of the compensation range for this opportunity is $115k to $135k annually, depending on the experience you bring and your location. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.
We encourage you to apply!
We value diversity. At Olo, we know a diverse and inclusive team makes our workplace better. Don't meet every single qualification in the job description? Market data shows that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, that is free from discrimination and harassment; this allows us to make better decisions and better serve the communities we’re a part of. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status. If you require further accommodations or have questions regarding accessibility, please contact us at [email protected].
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Associate Data Scientist | Indigo |
About Indigo
Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture's long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups.
Indigo’s Biological Products organization develops products based upon our deep understanding of the plant microbiome. The company has commercialized such products for cotton, wheat, barley, corn, soybeans, and rice in North America, Latin America, and Europe under the biotrinsic™ brand. Our R&D and product development teams are working to continue to develop products that address the growing number of abiotic and biotic stresses that crops experience worldwide. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Basel, Switzerland, Buenos Aires, Argentina, and São Paulo, Brazil.
The R&D data science team is responsible for the analysis of our Global R&D Field Trials, with the overall goal of leveraging data to accelerate the discovery and launch of best-in-class commercial products. As an Associate Data Scientist, you will play a key role in developing and applying crop models and data analytics approaches for performance insights and product advancement decisions. You will work in close partnership with the R&D field scientists, Product Management, and Commercial teams to deliver innovative modeling solutions in alignment with key business priorities
The ideal candidate will be team oriented, excited by new challenges, comfortable in a fast faced and dynamic environment, and have a strong interest in deriving performance insights from agronomic data. We are a cross-functional team that values collaboration, teamwork, open communication, and growth and learning.
Responsibilities:
Analyze model outputs and support the delivery and communication of crop model outcomes
Calibrate crop models to make sure simulated yield and stress level reflect reality. If necessary, design and conduct specific experiments for model calibration
Support product performance understanding based on modeling outputs
Write robust, well-documented code that adheres to community standards and data science best practices
Build algorithms for crop models with a focus on analysis/prediction of the impact of abiotic/biotic stresses, cultivar/genotype, and crop management on overall crop productivity
Stay current on crop modeling research, and explore new approaches by applying the latest advancements in crop physiology and modeling
Explore diverse environmental, remote sensing, and/or geospatial datasets
Support the education of stakeholders to promote the application of crop modeling results for decision making
Analyze the quality of input data, and work with the data management team to resolve issues
Competencies:
Proficient in building clear and organized code (R or Python)
Passion for clear, thorough, and timely documentation
Excellent communicator and strong team player
Able to prioritize conflicting demands and comfortable with ambiguity
Strong desire to continue learning by identifying and implementing new techniques and technologies
Focused on the needs of customers and experience working directly with stakeholders to implement usable data products
Able to work productively in a multi-disciplinary and predominately remote team with geographically dispersed stakeholders
Passion for achieving Indigo’s mission
Qualifications:
MS in Plant Physiology, Agronomy, Crop Sciences, Statistics, Soil Science, Environmental Sciences, or other highly quantitative discipline with a focus on biological problems
Fluency in R and/or Python programming and basic SQL programming
Experience in popular relational databases, such as MySQL, MS SQL, Snowflake
Experience parameterization and validation of crop models to understand environmental impacts and genetic effects on yield performance
Experience with crop models such as DSSAT and APSIM
Experience working with biological and agronomic data
Experience with Linux command line, AWS environment, and parallel computing
Experience with data management and data visualization is a plus
#LI-JW2
#LI-Remote
At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool.
If you’re applying for a job in the U.S. and need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
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Head Of Monetization Data Science | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Core to this mission is our ability to enable Pinners to identify the products, services and people that will enable them to realize their dreams while connecting businesses and advertising partners with the customers they need to realize their own. We are looking for a Head of Analytics and Data Science for Monetization. This leader will partner directly with our Head of Monetization for Engineering and Product to build, evolve and realize Pinterest’s monetization strategy (a $1B+ business).
What you’ll do:
Lead & Develop the Team: Lead, grow, and develop an organization of 20+ highly skilled data scientists and product analysts across multiple geos and managers through excellent hiring practices, coaching, team processes, and more. Drive Technical Excellence: Solve key technical challenges in understanding and improving the quality of advertisements, measure effectiveness of advertisements and our advertising products, and enhance shopping products on our platform. Be a Strategic Thought Partner: Act as a thought leader alongside engineering and product partners; collaborate to develop and evolve our vision for revenue and advertiser growth, improve the quality of our product and enhance platform monetization through rigorous analysis and opportunity sizing. Build a Portfolio of Work: Construct a portfolio of investments across the team that optimize on the short-term and long-term and span the risk vs. reward spectrum. The team will partner with Engineering, Product, Research and Design and will be responsible for building and maintaining a suite of metrics/measurement solutions, driving rigorous experimentation, identifying insights and opportunities to invest in, and building/analyzing models that improve value provided to pinners, advertisers and merchants. Drive Rigor and Velocity: Drive a team that yields high quality and actionable results, while maintaining the right balance between velocity and rigor.
What we’re looking for:
Have a Growth Mindset: A self-propelled intellectually curious continuous learner who keeps up with new tools, methodologies, and the industry and is unafraid to take new challenges. Advocate for Product Quality: Someone who emphasizes and advocates for the quality of the product. Innovation and Risk Taking: Someone who is consistently looking for new and innovative ideas, drawing from data, the team expertise and the industry. A Clear Communicator: Excellent at being able to communicate complex analysis and insights to highly disparate audiences with varying technical depth. Have a Challenger Mindset: You are comfortable challenging the status quo in an effort to make improvements. Have Passion for Data: You continue to be hands on with data regardless of what your role is because it is something you are truly passionate about. A Champion of Inclusion and Diversity: You are a proven people leader who ensures that your teams are inclusive of and leverage diverse experiences and backgrounds. 12+ years of combined industry and post-graduate academic experience in a quantitative field and a proven ability to apply scientific methods to solve real-world problems on web-scale data 5+ years of leadership experience managing a team of 15+ data scientists and product analysts across multiple locations at a technology company. Experience in leading an organization with managers, ICs, and technical leads. 3+ years working in ads, shopping, or e-commerce domains 3+ years experience working closely with both engineering and product teams 3+ years hands-on individual contributor experience in many of the following areas Ads Quality | Growth | Metric Design | A/B Experimentation Design and Evaluation | Human Evaluation | Machine Learning | Ranking and Recommendation Systems | Causal Modeling | Big Data Processing| Ads measurement Hands-on knowledge of SQL and Python or R
US Applicants:
The minimum and maximum salary for this position is $222,300 to $382,700 in the US; This position is eligible for equity; and Information regarding the culture at Pinterest and benefits available for this position can be found at https://www.pinterestcareers.com/pinterest-life/.
* This compensation and benefits information is based on Pinterest’s good faith estimate as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors that may include location, travel, shift requirements, relevant prior experience and/or education, or particular skills and expertise.
#LI-REMOTE #LI-NP1
Our Commitment to Diversity:
At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.
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Staff Research Scientist | Rvo Health |
AT A GLANCE
We are looking to hire a staff machine learning engineer to join our RVO Health data science team. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do
Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.
Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.
Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.
recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.
Candidates with specific expertise in any of these areas will be highly preferred.
Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.
Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
Starting Salary: $150,000 - $210,000*Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We will use the remainder of 2022 to separate from Red Ventures and fully transition into the new entity. We will communicate fully and transparently along the way, honoring the culture, people, processes and spirit that got us to this point.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
#LI-SM2
#LI-Remote
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Treasury Analytics And Modeling Manager | Huntington |
Description
Huntington’s Treasury Balance Sheet Management (BSM) team sits at the hub of the bank: every month we forecast the entirety of our balance sheet under dozens of interest rate scenarios to identify potential risks and recommend actions to mitigate that risk. From our position we track every line of business, and we keep a pulse on how the bank is performing overall, and we need smart and talented individuals to help us improve our forecasts.
We are recruiting for a Treasury Analytics and Modeling Manager who will be the manager and intellectual owner of the team’s forecasting methodology for key areas of the bank’s balance sheet with statistical know-how and business sense. Responsibilities include, but not limited to the following:
Manage a group of modeling analysts with a focus on certain portfolios on balance sheetWork closely with appropriate product owners to deeply understand the business dynamics of our productsDevelop models and assumptions that translate those real-world dynamics into mathematical representations of behavior. Our forecasts focus on account acquisition, loan prepays, deposit rates paid/offered, and deposit balance retentionMake and defend key tradeoffs between model accuracy and complexity, in line with the BSM team’s overall strategic objectivesLead the group to work closely with our BSM Production team to ensure models are appropriately implemented in our cashflow forecasting engine (currently QRM)Provide ongoing monitoring of models in adherence to our risk framework. In cases where model performance degrades, perform appropriate research to identify root causes, and recommend then implement fixes to bring models back within complianceBe aware of changes in product management strategy and maintain a perspective for when existing models conceptually diverge from their stated objectives
Required Qualifications:
Five years of experience managing production-ready models over the modeling lifecycle (requirements gathering, data preparation, model development, documentation, and ongoing monitoring/refreshes)Demonstrated familiarity in the statistical techniques of time series, decay, and/or prepay modelsExperience developing models in standard data management and statistical software (e.g., SQL, R, SAS, STATA, Python, etc.). Our team uses SQL, Python and SASExcellent written and verbal communication skills, with experience explaining model results and limitations to non-technical audiencesFacility with Microsoft Office products, especially Excel (advanced)
Master’s degree in a quantitative field (economics, mathematics, statistics, physics, etc.) with 5+ year relevant experience or bachelor’s degree with 8+ year relevant experience
Preferred Qualifications:
Experience in model governance activity per risk management frameworks typical at banks >$50 bn in assetsExperience implementing models in Financial Services cashflow forecasting engines, including QRM, Bankware, Empyrian, or othersCuriosity and creativity to provide a point of view even if that perspective is contrary to conventional wisdom. Willingness to personally be the “hands-on-keys” interrogator of data, assumptions, models, and calculations to develop and implement changes as neededPh.D. in a quantitative field (economics, mathematics, statistics, physics, etc.).
#LI-Remote
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Remote
Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position
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Data Scientist Machine Learning | Underdog Sports |
What is Underdog?
Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it!
At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work.
We are looking for intellectually curious, highly motivated individuals to be the foundational members of our Machine Learning Data Science team. As a Machine Learning Data scientist at Underdog, you’ll be building out the next-gen AI powered gaming platform that will lead the sports gaming industry. You will be part of a team whose focus is to solve cutting edge data science problems and deploy state-of-the-art models.
You will develop models, systems and features that leverage the massive scale of Underdog’s user base to understand and predict user behavior, and to optimize the experience at all stages of the user journey. You will engage in and manage an end-to-end machine learning (ML) development lifecycle from data, use case, solution design and modeling to production deployment and monitoring.
Projects can range from working on a wide-variety of statistical and machine learning problems, e.g. experiment design (AB testing), causal inference, clustering, propensity modeling, survival models, classification and regression modeling, pricing, fraud/anomaly detection, MCMC, Bayesian models.
*Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
What you’ll do:
Design, explore, build, evaluate, deploy and iterate on statistical/ML models
Build across the entire machine learning development process to implement ML algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring
Design experiments/AB tests, analyze/interpret results and communicate insights to leadership and stakeholders
Work with large scale data systems, build large scale training and inference pipelines
Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
Partner closely across the business to identify improvements and opportunities, influence decisions using data science
Who you are:
BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related academic/work experience
3+ years of experience building and deploying statistical/ML models
Industry experience working with large scale data
Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
Proven machine learning and software engineering skills across languages including Python, R etc.
Experience with ML software tools and libraries (e.g., Scikit-learn, Keras, statsmodels, PyTorch, Huggingface, Haystack, Fastai, TensorFlow, Nvidia, Nbdev.)
Even better if you have…
MS, PhD in Statistics or related field with research in machine learning
Familiarity with large-scale data processing and distributed systems
Experience with MLOps pipelines
Experience with one or more of the following: deep learning, natural language processing, computer vision, bayesian reasoning, recommendation systems, search and ranking, learning from semistructured data, graph learning, reinforcement or active learning, ML software systems, machine learning on mobile devices
Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $185,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks:
Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
16 weeks of fully paid parental leave
Company paid Health, Dental, Vision plan option for employees and dependents
401k Match & FSA
Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST!
A $500 home office allowance
$100 in UD credit
Support for learning and development
Book club – expense your books!
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!)
Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally!
#LI-Remote
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Principal Data Scientist | Atb Financial |
Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients.Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Job Number: REQ5405Location: Anywhere in Alberta, preference for Edmonton or Calgary #LI-RemoteApply by: Monday, January 23, 2023Paygrade: M-OTHSystem Title: Data Scientist 8# Positions available: 1Leader Name: Brent LymanAs ATB’s next Principal Data Scientist within the Advance Analytics & Artificial Intelligence team, you are on a mission to take AI out of the lab and help ATB and our clients to realize the immediate value of this fast-paced technology. To do this, you will steer the vision, goals and milestones across a growing portfolio of cloud-based AI Products. Lead the execution and delivery of a growing portfolio of Data/AI Products that advance ATBs capabilities and allow us to execute against our data monetization strategy. Actively partners with technical thought leaders including Distinguished Data Scientists and other Principal data scientists on the design and strategy for AI capabilities, and owns a clear vision based on value-driven outcomes aligned to enterprise strategy. Manage partner vendors to ensure successful delivery of AI products and solutions. Coordinates with their direct leader and with business stakeholders on all aspects of AI delivery, thereby ensuring alignment and ongoing clarity into a complex body of work. Actively contributes to an evolving culture of applied AI at ATB, driving engagement and thought leadership Uses data to re-evaluate and redesign existing products and practices to improve team outcomes. Collaborates on design of data science projects, ML/AI algorithm development and models Collaborates with database designers, developers and operations to productionalize AI models Advises & mentors more junior data scientists on project workflows including: EDA, model selection and validation, bias testing, operational considerations etc. Strong interpersonal skills and confidence interacting with technical team members from diverse backgrounds, as well as senior leadership and executives. This includes expertise with storytelling through data. Demonstrates a sound understanding of mathematics and statistics. Solid grasp of software development/engineering principles, algorithms, and processes (including Agile delivery practice). Expert knowledge of Python and SQL. Experience working with technologies like Big Query, C3.ai, Tensor flow etc. Experience building AI recommendation products to improve advisory services in the financial services a plus Graduate degree in Computer Science, Mathematics, Engineering or other quantitative field 3 to 5 years of relevant data science experience (preference for experience working in Financial Institutions) Demonstrable portfolio of successful experience with deploying AI solutions (preferably cloud-based) - whether applied in industry, academic or other settings. At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are a match for this position, please consider applying.Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch! ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.
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