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