About this role
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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role:
SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement.
This role will support Lifecycle Marketing (LCM) data enablement - building the reporting, tooling, and self-serve foundations that help LCM leads plan, execute, and measure member communications. The work includes improving data reliability, partnering with Engineering on data products, enabling AI-assisted self-serve analytics, and supporting incrementality measurement so the team can distinguish true campaign lift from correlational reporting.
The position will report to a Staff Marketing Data Scientist and partner day-to-day with a Senior Marketing Data Scientist who oversees LCM lead communication and project management. You will focus on execution, implementation, and day-to-day reliability of LCM reporting and tooling. This role is ideal for someone who enjoys building high-quality data products, working with both technical and marketing partners, and growing toward greater ownership over time.
What you’ll do:
• Build and maintain automated reporting pipelines, dashboards, and datasets that support Lifecycle Marketing performance
• Improve LCM data foundations by implementing standardized logic, definitions, and quality checks across communications channels (e.g., email, push, in-app, and related CRM activity).
• Develop and enhance self-serve reporting and AI-assisted analytics tooling so LCM stakeholders can monitor performance and answer routine questions independently.
• Investigate and help resolve data discrepancies, delays, or pipeline issues affecting LCM reporting and campaign measurement.
• Partner with Engineering and Marketing Data Science to productionize data products, automate recurring workflows, and improve reliability of LCM datasets.
• Support time-sensitive stakeholder requests by extending existing reporting frameworks rather than creating one-off, unmaintainable analyses.
• Contribute to documentation of data definitions, business logic, and reporting processes so LCM leads and MDS partners can work from a shared source of truth.
• Support increment