Senior Data Scientist, Growth Product

Chime Chime · Fintech · San Francisco, CA · Data Analytics

Senior Data Scientist, Growth Product role at Chime, a fintech company. Focuses on driving growth through experimentation, A/B testing, causal inference, and occasionally machine learning for customer segmentation. The role involves partnering with product, engineering, and marketing teams to shape strategy, analyze user behavior, and build data pipelines. Familiarity with AI coding tools is a plus.

What you'd actually do

  1. Operate as an independent thought partner to Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they’re even asked.
  2. Work with the team to develop a rich program of experimentation and A/B testing to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.
  3. Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
  4. Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
  5. Build metrics to measure user funnels, product engagement, and retention, and use those metrics to help brainstorm potential product experiments to drive improvements in them.

Skills

Required

  • SQL
  • Python
  • applied statistics
  • experimental design
  • A/B testing
  • machine learning techniques
  • data storytelling
  • data visualization
  • dbt
  • Airflow

Nice to have

  • FinTech experience
  • Hex
  • Looker
  • AI coding tools

What the JD emphasized

  • 5-7 years of relevant hands-on experience in product or business analytics roles (FinTech a plus)
  • Expert-level SQL ability and proficiency in Python
  • Broad knowledge of applied statistics, experimental design, and analysis of A/B tests
  • Demonstrated experience with machine learning techniques for applied business use cases
  • Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
  • A strong bias toward proactive problem discovery.
  • Exceptional data storytelling and data visualization ability.