Top Healthtech Data Science Jobs

Lead Chewy Ads Data Science across onsite and offsite channels, owning strategy, roadmap, models, and experimentation. Build and mentor a team to deliver production ML systems for ranking, bidding, budget optimization, ROAS, and GenAI-powered advertiser tooling while partnering with Product and Engineering and representing science to senior leadership.

Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.

Build and own analytics and AI-driven reporting for Care Partnerships. Create self-service insights, predict partner health, prioritize outreach, instrument experiments and launch analytics infrastructure to scale referrals and partner relationships.

Lead analytics for Medicaid quality programs: build analytical frameworks, perform data analyses and causal inference to evaluate program impact, translate requirements into scalable data models, collaborate with cross-functional teams, and communicate findings and risks to stakeholders to drive quality improvements.

The Advanced Data Science Manager leads a team of data scientists, develops data science strategies, manages client projects, and drives business development while providing thought leadership and mentoring.

Owner of analytics for EHR, revenue cycle, and operations: design and run experiments, analyze financial and operational metrics, investigate billing and account issues, and deliver actionable insights to Product, Operations, Finance, and Customer Experience to improve accuracy, reduce friction, and support growth.

Lead enterprise data strategy, governance, architecture, and analytics. Build and mentor data engineering, science, and analytics teams; deliver scalable data platforms, ML models, and BI reporting; ensure compliance, performance, and stakeholder-driven data solutions.

Own analytics for Bevi digital experiences and websites, measure incremental impact of new flavors using experiments and quasi-experimental methods, build a flavor recommendation engine, create dashboards, and partner with Product, Design, Engineering, and Data Engineering to improve tracking, data quality, and product decisions.

Lead data science projects to advance drug development, implementing models for patient selection and clinical trial optimization, and collaborating with cross-functional teams.

Lead and grow a Data Science team for Provider Products, set analytical direction, own experimentation and measurement, review methods, partner with product and engineering, hire and develop data scientists, standardize analytics and integrate generative AI to improve workflows and outputs.