Data Science Lead
Core
Own analytics for the patient lifecycle, blending product analytics, experimentation, and predictive modeling to drive growth and improve patient outcomes in a marketplace setting.
Role type
Senior IC data science lead (product analytics & experimentation)
Builds
Production-ready models of churn, resurrection, and targeting; experimentation platform methodology and tooling
Domain
Digital health / Marketplace
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Causal inference, A/B testing design, Python, SQL, predictive modeling, product analytics, stakeholder management, strategic planning
Preferred skills
Experience at consumer tech or marketplace companies, experimentation platform development
Technologies
Python, SQL
Responsibilities
Define metrics and surface insights shaping patient behavior understanding; build and validate production models for churn, resurrection, and targeting; design and analyze experiments or apply causal inference; produce deep dives with sized business opportunities; shape product priorities and roadmaps; contribute to experimentation platform standards and tooling
Seniority
Senior, hands-on IC
