Staff Data Scientist, Member Insights - Subscriptions at Sofi

Sofi

CA - San Francisco; WA - Seattle·7h ago

LeadFull-timePythonMachine LearningData ScienceAIData

Salary Range

$121,125 - $163,875 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team at SoFi, focused on driving engagement and long-term member value for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem.

Key Responsibilities

→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 influence 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
→Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs
→Experience with leveraging LLMs or other AI solutions to develop analytical tools

Requirements

✓Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field
✓7+ years of experience leveraging data-driven analysis to influence product and business strategy
✓Deep expertise in retention and engagement analytics, cohort and lifecycle analysis, subscription metrics (churn, LTV, ARPU), and experimental design and causal inference
✓Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and Python
✓Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments
✓Proven experience developing and deploying machine learning models in production with monitoring frameworks
✓Strong understanding of subscription economics and revenue optimization
✓Demonstrated ability to work independently in ambiguous environments and drive measurable business impact
✓Excellent communication skills, including the ability to present complex technical findings to executive audiences
✓Track record of mentoring junior data scientists and elevating team standards