Senior Data Scientist, Growth ProductNew

The opportunity

We're looking for a Sr. Growth Product Data 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.

What you'll do

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Help the team establish high-quality eventing to allow the tracking of: detailed user behaviors along customer journeys through Chime’s mobile app.

What they're looking for

  • Develop and evolve team metrics that define what “good” looks like: ensuring that we optimize for long-term member and business value – and build operational dashboards to track business and product health.
  • Translate complex analytical findings into compelling, executive-ready: narratives that inspire action and alignment across teams.
  • Develop robust data pipelines in dbt for your team, and continuously improve: the quality and accessibility of customer data.
  • years of relevant hands-on experience in product or business analytics roles (FinTech a plus).