Staff Data Scientist at Pivotal Health
Los Angeles, CA
$200,000–$230,000
Aug 3, 2026
Los Angeles, CA
Sep 24, 2026
What this job asks for AI summary
This role focuses on building and improving production decisioning systems — including offer engines, experimentation frameworks, feedback loops, and configurable rules — that drive economically meaningful outcomes in healthcare reimbursement workflows. The ideal candidate blends applied data science with optimization and experimentation expertise, and is comfortable taking work from analysis through to production. It suits someone with a background in pricing, marketplaces, lending, ad tech, or similar high-stakes decisioning domains.
Senior level · Remote · Full-time
Advertised as Staff, but the requirements read as Senior.
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We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,000 people nationally plausibly meet what this posting asks for (data scientists). range 410–3,000
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 5, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting lists no hard-gated required skills — all technologies and domain experience appear under 'We'd Be Especially Excited If' (explicitly preferred) or in a narrative 'Example Technical Environment' section described as non-mandatory. Python and the other technical items are therefore marked preferred.
The role is titled 'Staff Data Scientist' but the posting provides no minimum years of experience and the scope — owning a decisioning surface, partnering with engineers, iterating in production — is consistent with a Senior individual contributor rather than a true Staff-level org-wide technical authority. Advertised seniority reflects the title; assessed seniority reflects the actual scope.
The posting names Los Angeles and New York as core hubs but explicitly states openness to remote/hybrid candidates outside those regions; remote is marked true accordingly.
No compensation figures are disclosed.
The alt SOC (Operations Research Analysts, 15-2031) is noted because the role's emphasis on optimization, decisioning systems, and operational constraints gives it meaningful overlap with that occupation alongside the primary data science classification.
Read the full posting
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