The Role

We're looking for a highly skilled Senior Data Scientist to play a pivotal role in the Member Data Science team, responsible for driving Growth, Engagement, and Retention strategies. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals

As a Sr. Data Scientist, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.

This role is inherently cross-functional—you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. This is an exciting role for someone to make a direct impact on the company's financial performance and customer experience.

What You'll Do

• Design and implement data collection and processing pipelines
• Develop and apply machine learning models to solve business problems
• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
• Evaluate and interpret the results of data analysis
• Communicate findings to technical and non-technical stakeholders
• Stay up-to-date on the latest data science techniques and technologies
• Build data pipelines to deploy production level datasets

What You'll Need:

• Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
• 4+ years of relevant work experience
• Strong programming skills in SQL, Python/R and proficiency in Tableau
• Experience with using DBT, Airflow to build Data Pipelines in Snowflake
• Experience with A/B Testing, quasi-experimentation for causal inference and insights
• Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling and predictive modeling concepts.
• Demonstrate strong business acumen and curiosity with excellent communication and presentation skills with leadership
• Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion
• Exceptional problem-solving skills
• Influence outcomes and communicate technical content to general audiences
• Work independently in a dynamic, cross-functional environment, with strong attention to detail and be a team player.
• Prepare comprehensive data reports and share insights with stakeholders