Data Scientist, Actuarial at Sprinter Health
San Francisco, CA
$160,000–$200,000
Jul 26, 2026
San Francisco, CA
Jul 29, 2026
What this job asks for AI summary
This is a first-of-function Data Scientist role at a home-based healthcare company, focused on building actuarial and health-economic models from administrative claims data — total cost of care, PMPM, MLR, and multi-year risk projections. The person in this role will represent the company directly in conversations with health plan actuaries and medical-economics teams, and will define the measurement framework for proving the financial impact of in-home care interventions.
Senior level · San Francisco-Oakland-Berkeley, CA · Full-time
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How this req sits in the market our data
Roughly 840 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 630–1,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
The CBSA is inferred as San Francisco Bay Area based on Sprinter Health's known headquarters; the posting does not explicitly name a city, only describing a hybrid schedule with in-office Mon–Thu.
No total years of experience is stated at the role level; the posting uses qualitative depth signals ('deep experience', 'command of the methods') rather than a numeric floor.
Actuarial credentials (ASA, FSA, MAAA, or exam progress) are explicitly listed as welcome but not required, and appear under the 'edge' (preferred) section.
Payer-side, value-based-care, Medicare Advantage, Stars, and risk adjustment experience are listed under 'What gives you an edge' — preferred, not required.
AI coding assistants (Claude Code, Cursor) appear only under the preferred 'edge' section.
The role sits at the boundary between 15-2051 Data Scientists and 15-2031 Operations Research Analysts — the actuarial/economic modeling emphasis and quantitative methods lean toward 15-2031, but the 'Data Scientist' title and partnership with a Data Science team tip the classification to 15-2051.
Claims data analysis and actuarial modeling methods (PMPM, MLR, total cost of care, risk adjustment) are core hard requirements but are domain methodologies rather than named software tools; they are captured as a single concrete skill ('claims data analysis') to represent the technical gate. The posting does not name a specific claims platform or actuarial software package.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): claims data analysis.
Read the full posting
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