Lead Data Scientist — Growth & Experimentation
Core
Lead Data Scientist owning analytics and experimentation for a high-growth healthcare segment, partnering with GM and Finance to drive business decisions.
Role type
Lead Data Scientist (Growth & Experimentation)
Builds
Experimentation engine, core dashboards, self-serve tooling, and driver-based revenue forecasting.
Domain
Healthcare / Health Technology / Growth Analytics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Experimentation design, causal inference, power analysis, SQL, Python, autonomous roadmap ownership, executive communication, business judgment, marketplace/eCommerce/SaaS/healthcare experience
Preferred skills
FP&A partnership, metric trees, AI tools (LLMs, agents), BI tools (Sigma, Looker, Tableau, Power BI), mentoring
Technologies
SQL, Python, Sigma, Looker, Tableau, Power BI, LLMs, agents
Responsibilities
Design and execute growth experiments with rigor; build and evolve reporting dashboards and self-serve tooling; analyze revenue and margin drivers; manage data engineering partnerships for core models; support strategic finance with revenue forecasting.
Seniority
Lead, hands-on IC with strategic scope
