Data Scientist (Actuarial)

Join Sprinter, a health tech company focused on improving patient outcomes and reducing healthcare costs. As a Data Scientist with an actuarial focus, you will build models to quantify the long-term economic value of Sprinter's programs. You will work closely with health plans and their actuarial teams, turning analysis into actionable insights. This is a hands-on role where you will define what success looks like and have a direct impact on the company's growth.

• Construire des modèles de coût total des soins, PMPM et MLR à partir des données de réclamations pour quantifier l'impact à long terme des programmes de Sprinter.
• Projections sur la manière dont les interventions modifient les coûts, l'utilisation et le risque sur des horizons pluriannuels, et quantification de l'incertitude entourant ces projections.
• Produire des résultats de modèle et des tableaux que les actuaires d'un payeur peuvent intégrer directement dans leur tarification, leur constitution de réserves et leur travail d'offre.
• 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
• Deep experience building actuarial or health-economic models from administrative claims: total cost of care, PMPM, utilization, trend, and risk
• Strong SQL and Python or R, with the ability to build and own your models end to end
• Command of the methods payers price on — MLR, risk adjustment, and multi-year projection — and the judgment to know their limits
• 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