Senior Data Scientist, Lending

Chime Chime · Fintech · San Francisco, CA · Data Analytics

Senior Product Data Scientist at Chime, a fintech company, focusing on lending products. The role involves partnering with cross-functional teams to drive impact through data-driven decisions, owning funnels, designing and analyzing A/B tests, and applying advanced statistical and ML methods for member segmentation and lending questions. The goal is to optimize liquidity and credit products while balancing growth, member trust, and risk/compliance.

What you'd actually do

  1. Operate as an independent thought partner to Lending Product, Engineering, Risk, and Finance — shaping strategy, not just measuring it. You'll proactively surface opportunities and risks, framing the right questions before they're asked.
  2. Build a rich experimentation and A/B testing program across MyPay, Instant Loans, and SpotMe — including metric creation, experiment design, power analysis, and results analysis.
  3. Drive data-informed decisions across the Lending org by equipping PMs and engineers with self-service analytics, and running ad hoc analyses and causal studies.
  4. Apply advanced causal inference, time-series, and forecasting methods to lending questions — origination pacing, adoption, repayment, and retention — plus occasional ML for member segmentation.
  5. Own metrics across the lending funnel — adoption, conversion, take rate, originations, revenue, retention, delinquency, losses, and Direct Deposit growth/retention — and use them to drive experiments.

Skills

Required

  • SQL
  • Python
  • applied statistics
  • experimental design
  • analysis of A/B tests
  • machine learning techniques
  • causal inference
  • time-series analysis
  • forecasting
  • data storytelling
  • data visualization

Nice to have

  • FinTech
  • lending
  • credit
  • Hex
  • Looker
  • dbt
  • Airflow

What the JD emphasized

  • 5–7 years of relevant hands-on experience in product or business data science
  • Expert-level SQL ability
  • Demonstrated experience with machine learning techniques for applied business use cases
  • Demonstrated experience acting as a trusted advisor to senior cross-functional partners