Data Scientist, Product

About The Role

We're looking for a Growth Product Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey—from acquisition to conversion through long‑term retention. You'll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.

• Partner with Product Managers, Engineers, Designers, and Marketers on growth initiatives spanning acquisition, onboarding, activation, and retention.
• Design, run, and analyze A/B tests to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results; develop frameworks to prioritize the highest‑leverage experiments.
• Drive data‑informed decision making within the Growth org by equipping PMs and engineers with self‑service analytics tools, and conducting ad hoc analyses and causal studies.
• Use advanced statistical methods for causal inference, time‑series and forecasting techniques; occasionally apply machine learning methods for problems such as customer segmentation.
• Build and maintain dashboards, KPIs, and self‑serve tooling that give the team a clear view of funnel health.
• Help the team establish high‑quality eventing to allow tracking of detailed user behaviors along customer journeys through Chime’s mobile app.
• Translate complex analyses into clear narratives and recommendations for product and executive audiences.
• Collaborate with Data Engineering to improve the quality, accessibility, and trustworthiness of growth datasets.

• 3–5 years of relevant hands‑on experience in product or business analytics roles (Fin Tech a plus).
• Expert‑level SQL ability and proficiency in Python.
• Hands‑on experience designing and analyzing A/B tests; solid grasp of statistical concepts (significance, power, sample size, common pitfalls).
• Demonstrated experience acting as a trusted advisor to senior cross‑functional partners— influencing decisions through both data and judgment.
• Strong bias toward proactive problem discovery; explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
• Strong business intuition and judgment, and experience applying prioritization frameworks such as RICE or Eisenhower matrix.
• Strong written and verbal communication; able to translate technical concepts to non‑technical stakeholders.
• Familiarity with building data pipelines using tools like dbt or Airflow.
• Familiarity with AI coding tools such as Claude Code and Cursor.
• Located within commuting distance from our downtown San Francisco headquarters, and able to work in‑office with our team 4 days per week.

Base salary range: $109,000–$150,000. Full‑time employees are also eligible for a bonus, competitive equity package, and benefits.

• In‑office work policy: 4 days a week in the office, Fridays from home for those near one of our offices, plus team and company‑wide events.
• Backup child, elder, and/or pet care; subsidized commuter benefit.
• Competitive salary based on experience.
• 401k match and comprehensive medical, dental, vision, life, and disability benefits.
• Generous vacation policy and company‑wide paid days off.
• Time‑off for community volunteering.
• Annual wellness stipend.
• Paid parental leave: up to 24 weeks for birthing parents and 12 weeks for non‑birthing parents.
• Family planning support: access to Maven and $15,000 lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws.

If you have a disability or special need that requires accommodation during any stage of the application process, please contact:

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