Top Data & Analytics Jobs

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

The Director of Data Science will lead AI/ML projects, ensuring their scalability and production readiness while collaborating across functions to drive business growth.

The Director of Partnerships is responsible for establishing and leading partnerships with healthcare institutions, managing a team, and ensuring successful data collaborations.

The Data Science Analyst will analyze healthcare data, derive insights, collaborate on product design, and document business requirements while supporting revenue cycle optimization efforts.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

The Director of Analytics & Data Science leads a team to deliver insights for marketing and enrollment, enhancing student engagement and improving organizational performance. They develop analytics strategies, oversee data integration, and ensure effective communication of analytic insights to drive business decisions.

The consultant will work with the COO to translate business questions into metrics, perform exploratory data analyses, and build durable data foundations iteratively.

The Director, Data Science will lead analytics for clinical trial feasibility and study planning, develop insights, and improve decision-making processes. They will manage a team, optimize analytics delivery, and ensure data quality while collaborating with stakeholders.

Lead Data Science program teams, ensuring project delivery and compliance with regulations. Manage resources, provide mentorship, and drive process improvements.

The Lead, Data Science Internal Audit will implement statistical models, develop data frameworks for audits, mentor junior members, and present findings to stakeholders, enhancing audit practices through analytics.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.

The Data Science Manager for Process Analytics will define process attributes for validation, support manufacturing and supply with statistical analysis, and train teams in process control methods.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

The Data Analyst will handle complex requests, turning raw data into insights, building reports, and partnering with teams to develop scalable solutions for clients.