Senior Data Scientist, AI & App Experience

<h2><span style="font-family: helvetica, arial, sans-serif;"><strong>About the role</strong></span></h2> <p>In this role you will define how Chime measures the experience members have in the app and the impact of its AI-powered features — and lead the strategic analyses that shape decisions made by senior leaders across the company. Chime's members interact with the app daily and increasingly through AI-driven experiences. You'll set the agenda for understanding how members engage with these experiences, what's working and what isn't, and what those signals mean for Chime's product and business — framing the questions others aren't yet asking. By driving deep dive analysis on the trends you uncover in Chime's data, you'll not only explain why engagement and experience metrics move but shape the strategy your partners pursue in response. This is a role where you'll think holistically about the Chime app and AI experience, operate as a strategic partner to leaders across the company, and still be in the data to discover the story behind the metrics.</p> <p><span style="font-family: helvetica, arial, sans-serif;">The base salary offered for this role and level of experience will begin at $133,000 and 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.</span></p> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>In this role, you can expect to</strong></span></h2> <ul> <li>Own the measurement definitions, methodology, and read-outs for Chime's AI and App Experience metrics that your squad and its closest cross-functional partners in Product, Design, and Engineering rely on.</li> <li>Independently scope and run deep-dives into how members engage with the app and its AI-powered features — choosing the methodology, navigating confounders, and delivering recommendations that inform your squad's roadmap.</li> <li>Weigh rigor against speed deliberately, account for data quality issues and confounders, and exercise sound judgment about what matters most in a given analysis.</li> <li>Tailor your communication to Product, Design, and Engineering stakeholders without needing manager review on framing, while growing your narrative for cross-functional leaders.</li> <li>Mentor the data scientists around you through their projects — coaching on scoping, methodology choice, and stakeholder navigation — and contribute to your team's shared analytical infrastructure, including dbt models, documentation, and reusable templates.</li> </ul> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>To thrive in this role, you have</strong></span></h2> <ul> <li>5-7 years in data-focused roles, independently scoping and delivering analyses that inform the decisions of a product squad and its direct cross-functional partners.</li> <li>Strong proficiency in product and experience metrics — engagement, adoption, retention, and the leading indicators of feature quality. Familiarity with measuring AI/ML-powered experiences is a plus.</li> <li>Experience partnering closely with Product, Design, and Engineering stakeholders, with a growing ability to communicate insights to cross-functional leaders.</li> <li>Fluency in SQL — you translate business questions into queries, understand the edge cases of joins, and navigate the warehouse with confidence.</li> <li>Experience building dbt models that you and your team rely on, and contributing to shared analytical infrastructure and documentation.</li> <li>Fluency with standard and advanced statistical and ML techniques — causal inference, clustering/classification, time-series, and regression — and the judgment to choose the approach that fits the problem. Experience designing and interpreting experiments (A/B tests) is valued.</li> <li>A focus on impact — you don't stop at recommendations, and you multiply that impact by mentoring the data scientists around you through their own projects.</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 technolo