Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases

Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change

Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one

Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes

Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question

Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch

Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team

Key qualifications

7+ 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 non-technical stakeholders use

Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions

Sr Staff Data Scientist, New Verticals

Responsibilities

Qualification

Required

Benefits

Company

Flex

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