Senior Data Scientist, AI & App Experience

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

This role focuses on defining and owning the measurement framework for Chime's AI and App Experience metrics. The Senior Data Scientist will set the strategy for understanding member engagement with AI-powered features, analyze trends, and provide strategic insights to senior leaders to shape product and business decisions. The role requires strong SQL, analytics engineering (dbt), statistical inference, and stakeholder management skills, with experience in measuring AI/ML experiences being a strong plus.

What you'd actually do

  1. 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.
  2. Set the strategy for how Chime understands engagement, adoption, and the quality of its AI-powered features. Unlike anyone else, you will anticipate changes in how members interact with the app and AI experiences, build the understanding for why, and shape what leaders do in response.
  3. Be the arbiter of truth with data. You'll 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.
  4. Partner widely and at altitude. You'll be a strategic thought partner to leaders across Product, Design, Engineering, Operations & Member Experience, and Marketing — pressure-testing what's worth doing, not just answering the questions handed to you. The stronger these partnerships, the more successful you and Chime will be.
  5. Ask why a lot, and raise the bar for those around you. Your proactive inquisitiveness, supported by your data dexterity, means you lead first-of-its-kind analyses and mentor the data scientists around you to do the same.

Skills

Required

  • 5-7 years in data-focused roles
  • Deep proficiency in product and experience metrics
  • Extensive stakeholder management experience at the Director/VP+ altitude
  • Expertise in SQL
  • Analytics engineering depth
  • Sound statistical inference skills
  • Experience designing and interpreting experiments (A/B tests)

Nice to have

  • Familiarity with measuring AI/ML-powered experiences

What the JD emphasized

  • AI-powered features
  • AI/ML-powered experiences
  • measurement framework
  • strategic analyses
  • senior leaders

Other signals

  • AI-powered features
  • measurement framework for AI
  • understanding engagement, adoption, and quality of AI-powered features
  • measuring AI/ML-powered experiences