Data Scientist, Actuarial

What you will do

Actuarial & Economic Modeling

• Build total-cost-of-care, PMPM, and MLR models from claims data to quantify the long-term impact of Sprinter’s programs.
• Project how interventions change cost, utilization, and risk over multi-year horizons, and quantify the uncertainty around those projections.
• Produce model outputs and tables that a payer’s actuaries can plug directly into their pricing, reserving, and bid work.

Payer Credibility & Commercial Support

• Represent Sprinter in MLR and medical-economics conversations with health plans; go toe-to-toe with their actuaries.
• Turn analysis into value narratives that quality, risk, and finance teams can act on.
• Help the commercial team price and sell Sprinter’s impact on an actuarial basis.

Measurement & Rigor

• Define the yardstick for whether an intervention actually changed cost and outcomes, not just whether it correlated with them.
• Partner with Data Science on the causal and experimental design behind those measurements.
• Bring an honest view of the line between value we can prove and value we can only assert.

What you have done

• Deep experience building actuarial or health-economic models from administrative claims: total cost of care, PMPM, utilization, trend, and risk.
• Command of the methods payers price on — MLR, risk adjustment, and multi-year projection — and the judgment to know their limits.
• Strong SQL and Python or R, with the ability to build and own your models end to end.
• Ability to hold your own with actuaries and medical-economics teams, and to explain the analysis to non-technical stakeholders.
• Honesty about causal inference — what a given design can and cannot claim.

What gives you an edge

• Actuarial credentials (ASA, FSA, MAAA, or actuarial exam progress) — welcome but not required.
• Payer-side, value-based-care, or risk-bearing experience; familiarity with Medicare Advantage, Stars, and risk adjustment.
• Experience producing analysis that a customer or partner built into their own pricing or reserving.
• Fluency with AI coding assistants (e.g., Claude Code, Cursor) in your day-to-day development workflow.