Data Scientist (Actuarial/Medtech)

TL;DR

Data Scientist (Actuarial/Medtech): Building total-cost-of-care and PMPM models from claims data to quantify the economic impact of in-home care interventions with an accent on actuarial rigor and medical economics. Focus on designing defensible multi-year projections, collaborating with payer actuarial teams, and establishing the first-of-function measurement framework for value-based care.

Location: Must be based in or able to commute to San Francisco, CA (Hybrid: Mon-Thu in-office).

Salary: $160,000 – $200,000 + Equity.

Company

A healthcare technology company reimagining access to care by delivering clinical services directly to patients' homes.

What you will do

• Build total-cost-of-care, PMPM, and MLR models from claims data to quantify program impact.
• Project multi-year changes in cost, utilization, and risk while quantifying projection uncertainty.
• Produce model outputs and tables for payer actuarial teams to use in pricing and reserving.
• Represent the company in medical-economics conversations with health plans.
• Partner with Data Science on causal and experimental design for outcome measurements.
• Translate complex analysis into actionable value narratives for finance and commercial teams.

Requirements

• Must be based in or able to commute to San Francisco, CA.
• Deep experience building actuarial or health-economic models from administrative claims.
• Strong proficiency in SQL and Python or R.
• Ability to explain complex actuarial analysis to non-technical stakeholders.
• Command of payer pricing methods including MLR, risk adjustment, and multi-year projections.
• Honesty regarding causal inference and the limits of data-driven claims.

Nice to have

• Actuarial credentials (ASA, FSA, MAAA) or progress toward them.
• Experience in value-based care, risk-bearing, or Medicare Advantage.
• Fluency with AI coding assistants like Claude Code or Cursor.

Culture & Benefits

• 100% paid medical, dental, and vision plans for employees and dependents.
• 401(k) with company match.
• Meaningful pre-IPO equity.
• Flexible PTO plus 10 paid holidays.
• 16-week parental leave for birthing parents, 8 weeks for others.
• Free daily lunch in-office with team-building activities.

Hiring process

• Recruiter screen, hiring manager intro, and technical assessment.
• Onsite interview including systems design, research presentation, and behavioral interview.