Chime Financial, Inc

Chime Financial, Inc

Staff Data Scientist, Finance Analytics

San Francisco, CA, USA · Staff+ · Full-time

Sponsorship not specifiedDetected 13 days ago
SQLMachine LearningAirflowdbtData EngineeringData ScienceData VisualizationStatisticsA/B TestingForecastingExperimental DesignMentoring

About the role

  • The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00.
  • The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
  • Direct experience partnering with a Finance or Strategic Finance organization - fluent in unit economics, contribution margin, and forecasting, not just product metrics.

Responsibilities

  • 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.

Requirements

  • Expert-level SQL and strong proficiency in Python.
  • Expert-level SQL ability and strong proficiency in Python.
  • To thrive in this role, you have
  • Experience with Hex and Looker.

Nice to 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 (FinTech, payments, or card a plus).

Skills

  • Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
  • Fluency with AI coding/analytics tools (such as Claude Code and Cursor) and a track record of driving their adoption.

Compensation

  • The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00.
  • The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

Benefits

  • Full-time employees are also eligible for a bonus, competitive equity package, and benefits.
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This listing is sourced directly from Chime Financial, Inc's careers page and normalized into a canonical job model.