Staff Data Scientist, Finance Analytics

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

Staff Data Scientist role at Chime focused on finance analytics for the spending portfolio. The role involves building roadmaps, tooling, and semantic layers for the finance team, designing AI-assisted workflows, and mentoring other analysts. Requires expertise in SQL, Python, experimental design, A/B testing, causal inference, and applying ML to business problems. Experience with dbt/Airflow and AI coding/analytics tools is also required.

What you'd actually do

  1. building the roadmap, tooling, and semantic layer that let Finance answer its own questions
  2. designing the AI-assisted workflows that make that data usable at scale
  3. work on ambiguous problems — deciding what Finance actually needs, building durable infrastructure instead of one-off pulls, and reframing requests when the initial ask isn’t the real question
  4. mentoring other analysts along the way

Skills

Required

  • SQL
  • Python
  • experimental design
  • A/B testing
  • causal inference
  • ML techniques
  • dbt
  • Airflow
  • data storytelling
  • data visualization
  • Hex
  • Looker

Nice to have

  • FinTech
  • payments
  • card

What the JD emphasized

  • 8+ years in analytics roles spanning both finance and product analytics
  • Expert-level SQL
  • strong proficiency in Python
  • Deep expertise in experimental design, A/B testing, and causal inference
  • experience applying ML techniques to business problems
  • Track record as a trusted strategic partner to senior leaders (Directors/VPs)
  • Exceptional data storytelling at executive altitude
  • Experience building dbt/Airflow pipelines
  • fluency with AI coding/analytics tools (e.g., Claude Code, Cursor) used to build self-serve workflows for non-technical stakeholders like Finance