Senior Data Scientist, Lending at Chime Financial, Inc
San Francisco, CA
$133,000–$185,000from the description
Jun 29, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior data science role focused on Chime's lending and liquidity products — MyPay, SpotMe, Instant Loans, and Line of Credit. Day-to-day work spans designing and analyzing A/B tests, building funnel metrics, applying causal inference and forecasting methods to origination and repayment questions, and enabling self-service analytics for product and engineering partners. Suits an experienced practitioner comfortable navigating both product analytics and credit/risk tradeoffs.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
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 1,200 people nationally plausibly meet what this posting asks for (data scientists). range 730–1,800
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). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The 5–7 years figure is stated under the requirements section; the overall years minimum is set to 5 (the lower bound of the range).
Causal inference, time-series, and forecasting are described as applied responsibilities in the 'expect to' section rather than gated requirements, so they are marked preferred.
Hex and Looker are explicitly called out as a plus in the requirements section; they are treated as a single preferred skill with Looker as an alternative since the posting presents them together as interchangeable data-viz/BI tools.
dbt and Airflow are listed under 'Familiarity with' (explicitly softened language), so they are marked preferred; they are combined as one skill with Airflow as an alternative since the posting frames them as equivalent pipeline tools.
AI coding tools (Claude Code, Cursor) are listed under 'Familiarity with' and are marked preferred; Claude Code is the primary name with Cursor as an alternative.
FinTech/lending/credit domain experience is called 'a plus' in the requirements section — it is a domain context note rather than a named technology, so it is not emitted as a skill.
The role is tagged #LI-Hybrid in the posting, but the caller has declared it fully remote; remote=true is set per caller instruction.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series analysis.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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