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 exciting new role will support the development and ongoing operation of an automated, end-to-end marketing offer measurement and reporting framework that tracks offer setup, execution, fulfillment, and post-campaign validation across all products. The work produced by this role directly supports accurate offer execution, operational monitoring, and compliance readiness.
The position will partner closely with a senior position on the same project area, focusing primarily on execution, implementation, and day-to-day reliability of offer reporting systems. This role is ideal for someone who enjoys building and maintaining high-quality data products, working within established frameworks, and collaborating across teams to ensure consistent and accurate reporting.
What you’ll do:
- Build and maintain automated offer campaign reporting pipelines, dashboards, and datasets under the guidance of a senior IC3..
- Implement standardized logic for offer eligibility, fulfillment tracking, and payout validation across marketing campaigns.
- Perform routine monitoring and data quality checks to ensure offer execution and fulfillment data is accurate, complete, and timely.
- Investigate and help resolve data discrepancies, delays, or failures related to offer reporting and fulfillment tracking.
- Support ongoing maintenance and enhancements of self-serve dashboards used by Marketing, Product, and Compliance stakeholders.
- Assist with time-sensitive or non-standard offer reporting needs by extending existing reporting frameworks.
- Contribute to documentation of data definitions, business logic, and reporting processes to ensure transparency and consistency.
- Collaborate with Marketing, Product, Engineering, and Compliance partners to gather requirements and validate reporting outputs.
What you’ll need:
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- 2–4 years of experience in data science, analytics, or data engineering roles supporting marketing, growth, or product analytics.
- Strong proficiency in SQL and working knowledge of Python for data analysis and pipeline development.
- Experience building or maintaining dashboards and self-serve reporting solutions (e.g., Tableau or similar BI tools).
- Familiarity with modern data stacks and workflow tools such as dbt, Airflow, and cloud data warehouses (e.g., Snowflake), or a strong willingness to learn.
- Experience working with structured datasets and applying consistent business logic across reporting outputs.
- Ability to follow established standards while contributing thoughtful improvements to data quality, efficiency, and maintainability.
- Strong attention to detail and comfort working with operational data that requires high accuracy.
- Clear communication skills and the ability to collaborate effectively with cross-functional, non-technical partners.
- Curiosity, reliability, and a growth mindset, with interest in developing toward greater ownership over time.