Sprinter Health
Data Scientist, Actuarial
$160K–$200K
San Francisco, CA · Hybrid · Full-time · Posted Jul 27, 2026
- Experience
- Deep experience required; no number of years stated.
About the job
Build and defend actuarial and health-economic models that quantify the long-term cost and risk impact of Sprinter Health’s interventions for health plans.
What you'll do
- Build total-cost-of-care, PMPM, and MLR models from claims data and project multi-year cost, utilization, and risk impacts.
- Provide model outputs for payer pricing, reserving, and bid work, and support commercial pricing and sales.
- Partner on causal and experimental measurement, and explain analyses to payer and non-technical stakeholders.
What they ask for
- Deep experience building actuarial or health-economic models from administrative claims.
- Command of MLR, risk adjustment, and multi-year projection methods.
- Strong SQL and Python or R, with ability to build and own models end to end.
- Ability to communicate with actuaries and medical-economics teams and explain analysis to non-technical stakeholders.
Nice to have
- Actuarial credentials (ASA, FSA, MAAA, or actuarial exam progress).
- Payer-side, value-based-care, or risk-bearing experience; familiarity with Medicare Advantage, Stars, and risk adjustment.
Pay
$160K – $200K USD base salary
Tools
SQL, Python, R, Claude Code, Cursor
AI focus
Fluency with AI coding assistants such as Claude Code or Cursor in day-to-day development is a nice-to-have.
Model-written summary · the original posting is authoritative