Senior Data Scientist, Growth Product

About this role

<h2><span style="font-family: helvetica, arial, sans-serif;"><strong>About the role</strong></span></h2> <p class="p2">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. You'll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.</p> <p class="p2">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.</p> <p class="p3">In this role, you will work closely with product managers, design, engineers, product &amp; 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.</p> <p class="p3">The base salary offered for this role and level of experience will begin at $133,000 and go up to $185,000. 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.</p> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>In this role, you can expect to</strong></span></h2> <ul class="ul1"> <li class="li3">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.</li> <li class="li3">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.</li> <li class="li3">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.<span class="Apple-converted-space">&nbsp;</span></li> <li class="li3">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.<span class="Apple-converted-space">&nbsp;</span></li> <li class="li3">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.</li> <li class="li3">Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Chime’s mobile app.</li> <li class="li3">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.</li> <li class="li3">Translate complex analytical findings into compelling, executive-ready narratives that inspire action and alignment across teams.</li> <li class="li8">Develop robust data pipelines in dbt for your team, and continuously improve the quality and accessibility of customer data.</li> </ul> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>To thrive in this role, you have</strong></span></h2> <ul class="ul1"> <li class="li3">5-7 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).</li> <li class="li3">Expert-level SQL ability and proficiency in Python.</li> <li class="li3">Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Demonstrated experience with machine learning techniques for applied business use cases.</li> <li class="li3">Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.</li> <li class="li3">A strong bias toward proactive problem discovery. You don’t wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.</li> <li class="li3">Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).</li> <li class="li3">Exceptional data storytelling and data visualization ability. Experience with Hex and Looker<span class="Apple-converted-space">&nbsp;</span></li> <li class="li3">Familiarity with building data pipelines using tools like dbt or Airflow.</li> <li class="li3">Familiarity with AI coding tools (such as Claude Code and Cursor).</li> </ul> <p><span style="font-family: helvetica, arial, sans-serif;">#LI-Hybrid #LI-AM1</span></p><div class="content-conclusion"><h2><span style="font-family: helvetica, arial, sans-serif;"><strong>A little about us</strong></span></h2> <p><span style="font-family: helvetica, arial, sans-serif;">At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;">We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination ins