Top Data & Analytics Jobs

Work with large datasets to ensure data quality, automate analytics workflows, and produce reliable, consumable insights. Investigate data behavior, communicate findings to technical and non-technical stakeholders, partner with engineering and product teams, and implement automation and AI-assisted tooling to improve accuracy and efficiency.

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

As a Junior Business Scientist, you will support analytics projects in data science and marketing effectiveness, focusing on data preparation, statistical modeling, dashboard development, and client interactions.

The Data Science Associate is responsible for data extraction, analysis, and presentation to support business decisions and collaborations across teams.

Lead advanced media analytics for HCP and DTC campaigns, integrating healthcare datasets to quantify media impact and connect exposure to business outcomes. Deliver insights through dashboards and presentations while mentoring analysts.

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.

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 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.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

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 Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

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

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

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 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.