Staff Data Scientist (New Verticals)

Quick Facts

• Role: Staff Data Scientist (New Verticals)
• Focus: Building core data models and turning data into product decisions for consumer bill management and credit-building
• Work style: Hybrid in NYC, San Francisco, and Salt Lake City (2–3 days/week on-site); relocation assistance may be available for other locations
• Base salary (Tier 1: NYC/Bay Area): $155,000–$187,000 USD

Description

You will operate as both builder of the data foundation and analyst who translates insights into product decisions as Flex moves from pilot to broader go-to-market. The role partners with business leadership and the core data team to model data and analyze consumer bill-payment behavior, pricing, and credit dynamics—helping establish standards for the rest of the team.

Responsibilities

• Build and maintain core data models (dbt/Snowflake) powering reporting, experimentation, and ML/credit risk use cases
• Analyze payment behavior timing, splitting, delinquency, and credit-building outcomes to improve what’s working in the pilot
• Partner with Product and Engineering to instrument new features (bill splitting, smart scheduling, credit-building) and measure adoption and impact
• Design and analyze experiments to establish causal links between pricing, credit terms, product flows, and outcomes
• Create dashboards and self-serve tools for Product, Risk, and GTM to track pilot-to-scale metrics
• Champion data quality, consistent terminology, and documentation as the footprint grows
• Set technical direction for scaling data models and pipelines; mentor analysts/engineers and raise the technical bar

Requirements

• 5+ years of experience spanning analytics engineering and data science/analyst work
• Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack)
• Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards for non-technical stakeholders
• Track record designing and analyzing A/B tests or quasi-experimental methods
• Ability to partner comfortably with technical and non-technical stakeholders
• Comfort with credit, risk, or fintech data (plus) and curiosity about how consumers manage finances

Benefits

• Competitive medical, dental, and vision
• Company equity
• 401(k) plan with company match
• Unlimited paid time off plus 13 company paid holidays
• Parental leave
• Free Flex subscription
• For full-time non-U.S. employees: competitive compensation + company equity and unlimited PTO