Data Scientist, Actuarial

The role

You will build actuarial and health-economic models from claims data to quantify the long-term impact of Sprinter's programs. You will produce model outputs for payers to use in pricing, reserving, and bid work.

What you will do

• Build total-cost-of-care, PMPM, and MLR models from claims data
• Project how interventions change cost, utilization, and risk over multi-year horizons
• Produce model outputs and tables for payer pricing, reserving, and bid work
• Represent Sprinter in MLR and medical-economics conversations with health plans
• Turn analysis into value narratives for quality, risk, and finance teams
• Help the commercial team price and sell Sprinter's impact on an actuarial basis
• Define the yardstick for whether an intervention changed cost and outcomes
• Partner with Data Science on causal and experimental design

Required qualifications

• Deep experience building actuarial or health-economic models from administrative claims
• Command of MLR, risk adjustment, and multi-year projection
• Strong SQL and Python or R
• Ability to explain analysis to non-technical stakeholders
• Honesty about causal inference

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
• 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)

Benefits

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO
• 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent
• 8 weeks parental leave for all other parents
• HSA + FSA contributions
• Life insurance
• Short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

Before you apply

• Recruiter Screen
• Hiring Manager Introduction
• Hands-on-Keys Technical Assessment
• Onsite Interview: Systems Design / Technical Case Study + Research Presentation + Behavioral Interview + Lunch with the Team
• References

About the company

Sprinter Health aims to reimagine how people access care by bringing it directly to their homes. The team has supported more than 2 million patients across 22 states.