chime

Senior Data Scientist, Spending

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At a Glance

Location
San Francisco, California, United States
Work Regime
hybrid
Experience
5–7 years
Posted
2026-06-10T15:53:48-04:00

Key Requirements

Required Skills

PythonRSQLTableau

Domain Knowledge

  • Automation
  • Banking
  • Education
  • Embedded Systems
  • Finance
  • Medical

Requirements

5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs.

B2C product analytics and FinTech experience preferred.

Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g.

Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.

Familiarity in R or python - you write reproducible code and have a tendency toward automation.

Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).

Responsibilities

Spending Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build products that make Chime banking the best place to spend, save and invest.

Spending XFN organization’s mission is to deliver industry-leading spending products that members want to keep top of wallet.

Our spending products help our members spend and manage their money, offering unmatched simplicity, rewards, and tools that bring them financial progress.

Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.