Staff Data Scientist, New Verticals

📋 Description Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart Design and analyze experiments that test pricing, credit terms, and product flows, establishing Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's Champion data quality, consistent terminology, and documentation as data footprint grows from pilot 🎯 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 that Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive Being comfortable partnering with technical and non technical stakeholders Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their 🎁 Benefits Competitive medical, dental, and vision Company equity 401(k) plan with company match Unlimited paid time off + 13 company paid holidays Parental leave Free Flex subscription