← Back to Jobs

Data Scientist, Growth Product

ChimeSan Francisco, CA, USA
Full-timeMid Level
👁️ 1 views📝 0 applicationsPosted 6/11/2026Expires 9/5/2026

Get alerts for roles like this

More Data Scientist, Growth Product roles in San Francisco, CA, USA — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.

Job Description

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. This role sits at the intersection of product, data, and experimentation. You'll own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into clear, prioritized recommendations that ship. In this role, you will work closely with product managers, design, 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. The base salary offered for this role and level of experience will begin at $109,000 and go up to $150,000. 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 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 Growth org by equipping PMs and engi