Lead patient lifecycle analytics for a digital health product. Build production-ready churn, resurrection, and targeting models; design experiments and apply causal inference; deliver actionable analyses with quantified opportunities; define product metrics; and contribute to the company-wide experimentation platform. Partner closely with Product, Engineering, Design, and Growth teams to shape priorities and improve patient outcomes.