Senior Data Scientist, Trust & Safety

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

This role focuses on developing, testing, launching, and scaling member banking experience products to enhance security and adoption within a financial technology company. It involves using data science modeling, experimentation, and behavioral analysis to improve member engagement, retention, and overall trust and safety. The role requires close collaboration with product, engineering, and risk teams to foster a data-driven product development culture and advise on product roadmaps, with a strong emphasis on regulatory compliance and safeguarding member assets.

What you'd actually do

  1. Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
  2. Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
  3. Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
  4. Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
  5. Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.

Skills

Required

  • 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs.
  • Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
  • Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
  • Familiarity in R or python - you write reproducible code and have a tendency toward automation.
  • Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
  • Experience building metric frameworks to understand user behaviors.
  • Ability to think holistically to solve business problems at hand and navigate through ambiguity.
  • Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
  • A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

Nice to have

  • B2C product analytics and FinTech experience preferred.

What the JD emphasized

  • regulatory excellence
  • safeguarding member assets
  • sophisticated statistical and data science modeling
  • sophisticated measurement (e.g. causal inference) E2E