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ChimeChimeSan Francisco, CA

Staff Data Scientist, Finance Analytics

Staff Data Scientist partnering with Strategic Finance on Chime's Spending portfolio. Build self-serve analytics infrastructure, semantic layers, AI-assisted workflows, and data pipelines while mentoring analysts and influencing senior leaders with insights on unit economics, experimentation, and forecasting.

152k – 210k
Hybrid8+ YOEData Science

About the role

Responsibilities

  • Become the dedicated analytics partner to Strategic Finance on the Spending portfolio (debit, Credit Builder, Chime Card, Single Balance, Chime Deals, Spending Insights, and Checkbooks).
  • Build the roadmap, tooling, and semantic layer that enable Finance to answer its own questions.
  • Design AI-assisted workflows to make data usable at scale.
  • Work on ambiguous problems: decide what Finance actually needs, build durable infrastructure instead of one-off pulls, and reframe requests when the initial ask isn’t the real question.
  • Mentor other analysts.
  • Retain fluency in Spending’s products and experimentation while primarily partnering with Strategic Finance.
  • Partner with senior leaders (Directors/VPs), influence roadmaps through data and judgment, with a bias toward proactive problem discovery.
  • Build and maintain data pipelines with dbt or Airflow.
  • Contribute to shared analytical infrastructure and standards.
  • Drive adoption of AI coding/analytics tools for self-serve workflows for non-technical stakeholders.

Requirements

  • 8+ years in analytics roles spanning both finance and product analytics, with a track record of building infrastructure that scales an analytics function beyond one-off requests (FinTech, payments, or card a plus).
  • Direct experience partnering with a Finance or Strategic Finance organization — fluent in unit economics, contribution margin, and forecasting.
  • Expert-level SQL and strong proficiency in Python.
  • Deep expertise in experimental design, A/B testing, causal inference, and applying ML techniques to business problems.
  • Track record as a trusted strategic partner to senior leaders, influencing roadmaps through data and judgment.
  • Exceptional data storytelling at executive level, with experience using Hex and Looker.
  • Experience building dbt/Airflow pipelines.
  • Fluency with AI coding/analytics tools (e.g., Claude Code, Cursor) used to build self-serve workflows.

Nice-to-Haves

  • Experience shaping strategy at the area or business-line level.
  • Strong business intuition, judgment, and experience applying prioritization frameworks (e.g., RICE, Eisenhower matrix).
  • Demonstrated experience carrying weight in contested decisions.

Skills

SQLPythonA/B TestingCausal InferenceMachine LearningdbtAirflowHexLookerUnit EconomicsForecasting

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