Senior Marketing Data Scientist, Optimization

SoFi is a next-generation financial services company that is transforming personal finance through innovative technology. They are seeking a Senior Marketing Data Scientist to join their Marketing Data Science team, focusing on developing a robust measurement and monitoring framework for marketing offers to ensure compliance and accuracy in execution.

Responsibilities:

• 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

Requirements:

• 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