Senior Marketing Data Scientist

The role:

SoFi is seeking a highly motivated Senior 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 be part of the Marketing Measurement Insights and Optimization team. The focus of this role is ownership of an automated, end-to-end marketing offer measurement and monitoring framework, covering offer setup, execution, fulfillment, and post-campaign validation. This reporting infrastructure is critical to ensuring SoFi’s marketing offers are executed accurately, transparently, and in compliance with internal policies and external regulatory requirements.

This role will partner closely with Compliance, Legal, Product, and Marketing to ensure marketing offers are consistently monitored, discrepancies are detected early, and documentation is available for audit and regulatory review. The reporting and alerting systems built in this role will serve as a key control for offer execution and fulfillment accuracy across the company.

What you’ll do: 

• Own the end-to-end offer campaign measurement and monitoring system, including automated data pipelines, data quality checks, stakeholder dashboards, and proactive alerting for execution or fulfillment issues.


• Establish and maintain standardized definitions, controls, and tracking for offer eligibility, fulfillment logic, and payout timelines; proactively surface discrepancies, delays, or failures and partner with Marketing, Product, Engineering, and Compliance to resolve them.


• Create and maintain clear documentation of offer definitions, fulfillment logic, and monitoring processes to support audits, reviews, and stakeholder alignment.


• Own non-standard or time-sensitive offer execution and analytics needs by extending existing frameworks, while continuously identifying opportunities to reduce manual effort through automation and standardization.


• Lead the consolidation of marketing offer reporting across products, channels, and teams, creating a single, trusted source of truth for offer performance and fulfillment status.


• Translate complex offer execution and fulfillment data into clear narratives that inform senior leadership on performance, risk, and compliance posture.

What you’ll need:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field; Master’s degree preferred.


• 5+ years of experience in data science, analytics, or data engineering roles supporting marketing, growth, or product analytics; experience in financial services or other regulated industries strongly preferred.


• Advanced proficiency in SQL and strong experience using Python for data analysis and pipeline development.


• Proven experience building and maintaining production-grade dashboards and self-serve reporting solutions (e.g., Tableau or equivalent BI tools).


• Hands-on experience developing automated data pipelines and data models using tools such as Airflow and dbt, ideally within a Snowflake-based data stack.


• Experience designing data quality checks, monitoring, and alerting systems to proactively identify data or execution issues.


• Familiarity working with compliance, legal, risk, or audit stakeholders, or building analytics and reporting used for controls, monitoring, or regulatory review.


• Strong ability to translate complex and ambiguous business requirements into scalable, well-documented analytical solutions.


• Demonstrated ability to independently own projects end-to-end, prioritize effectively in a fast-paced environment, and drive work to completion with minimal oversight.


• Excellent communication skills, with the ability to clearly explain technical concepts and insights to non-technical, cross-functional stakeholders.


• High intellectual curiosity, strong attention to detail, and a collaborative mindset suited for cross-functional work across Marketing, Product, Engineering, and Compliance.