Marketing Data Scientist

SoFi • San Francisco, CA

1d

About The Position

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.

Requirements

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level