Senior Data Scientist, AI & App Experience

Responsibilities

• Define and own the measurement framework for Chime's AI and App Experience metrics — the definitions, methodology, and read-outs that other analytics teams and stakeholders across product, design, engineering, and member services rely on as the source of truth.
• Set the strategy for how Chime understands engagement, adoption, and the quality of its AI-powered features. Anticipate changes in how members interact with the app and AI experiences, build the understanding for why, and shape what leaders do in response.
• Be the arbiter of truth with data. Raise the methodological bar for the highest-stakes analyses and define what "good" looks like for how the organization understands the way members experience the app and its AI features.
• Partner widely and at altitude as a strategic thought partner to leaders across Product, Design, Engineering, Operations & Member Experience, and Marketing — pressure-testing what's worth doing.
• Lead first-of-its-kind analyses and mentor the data scientists around you.
• Drive deep dive analysis on trends in Chime's data to explain why engagement and experience metrics move and shape the strategy partners pursue in response.

Requirements

• 5-7 years in data-focused roles, leading analyses or building data tools that shape the decisions of an executive audience and frame the trade-offs leaders weigh.
• Deep proficiency in product and experience metrics — engagement, adoption, retention, and the leading indicators of feature quality.
• Extensive stakeholder management experience at the Director/VP+ level.
• Expertise in SQL.
• Analytics engineering depth — built data models in dbt and set standards for durable data products.
• Sound statistical inference skills, with the ability to communicate uncertainty appropriately to senior business partners. Experience designing and interpreting experiments (A/B tests).
• A focus on impact — see work through to changing the product and multiply impact by mentoring data scientists.

Nice-to-Haves

• Familiarity with measuring AI/ML-powered experiences.
• Clear Northstar for how Analytics partners with and influences product and engineering teams.