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Data Scientist, Finance Analytics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Menlo Ventures
Full Time position
Listed on 2026-07-15
Job specializations:
  • IT/Tech
    Data Analyst
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 152000 - 210000 USD Yearly USD 152000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist, Finance Analytics

About the role

We’re looking for a Staff Data Analyst to become Chime’s dedicated analytics partner to Strategic Finance on the Spending portfolio — debit, Credit Builder, Chime Card and Single Balance, Chime Deals, Spending Insights, and Checkbooks. Finance’s demand for spending data has outgrown an ad hoc, request-by-request model, and this role exists to fix that: building the roadmap, tooling, and semantic layer that let Finance answer its own questions, and designing the AI‑assisted workflows that make that data usable ’ll retain fluency in Spending’s products and experimentation, but Strategic Finance — not Product — is the primary partner.

This is a strategic, area‑level role. You’ll 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 — while mentoring other analysts along the way.

The base salary offered for this role and level of experience will begin at $152,000 and up to $210,000. Full‑time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to
  • 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 (Fin Tech, payments, or card a plus).
  • Direct experience partnering with a Finance or Strategic Finance organization — fluent in unit economics, contribution margin, and forecasting, not just product metrics.
  • Expert‑level SQL and strong proficiency in Python.
  • Deep expertise in experimental design, A/B testing, and causal inference, plus experience applying ML techniques to business problems.
  • Track record as a trusted strategic partner to senior leaders (Directors/VPs), influencing roadmaps through both data and judgment, with a strong bias toward proactive problem discovery.
  • Exceptional data storytelling at executive altitude, with experience using Hex and Looker.
  • Experience building dbt/Airflow pipelines, and fluency with AI coding/analytics tools (e.g., Claude Code, Cursor) used to build self‑serve workflows for non‑technical stakeholders like Finance.
To thrive in this role, you have
  • 8+ years of relevant hands‑on experience in product or business analytics roles, with a track record of shaping strategy at the area or business‑line level (Fin Tech, payments, or card a plus).
  • Expert‑level SQL ability and strong proficiency in Python.
  • Deep expertise in applied statistics, experimental design, and analysis of A/B tests, including causal inference, and demonstrated experience applying ML techniques to business use cases.
  • Demonstrated experience as a trusted strategic partner to senior cross‑functional leaders (Directors/VPs) — carrying weight in contested decisions and influencing roadmaps through both data and judgment.
  • A strong bias toward proactive problem discovery on ambiguous problems
  • Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
  • Exceptional data storytelling and data visualization ability, with experience communicating at executive altitude. Experience with Hex and Looker.
  • Experience building and maintaining data pipelines with dbt or Airflow, and contributing to shared analytical infrastructure and standards.
  • Fluency with AI coding/analytics tools (such as Claude Code and Cursor) and a track record of driving their adoption.
What we offer for our full‑time, regular employees
  • Our in‑office work policy is designed to keep you connected — with four days a week in the office and Fridays from home for those near one of our offices, plus team and company‑wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
  • In‑office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
  • Competitive salary based on experience
  • 401k match…
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