Job Description
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Who we are:
Shape a brighter financial future with us.
Together with our members we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives with our core values guiding us every step of the way. Join us to invest in yourself your career and the financial world.
We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team focused on driving engagement and long-term member value specifically 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. You will define and own engagement measurement frameworks lead high-impact analytical deep dives design causal experiments and develop scalable data and modeling solutions that inform product strategy for SoFi Plus.
The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist you will operate as a data thought partner to Product Engineering Lifecycle Marketing and Leadership. You will shape the engagement roadmap through insights on activation feature adoption habit formation churn risk subscription upgrades/downgrades and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue and ensure we are making disciplined data-informed investment decisions. This role requires strong technical skills (SQL Python/R Tableau Statistics) deep expertise in metrics segmentation A/B testing and strong collaboration.
This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.
Responsibilities:
- Design and implement data collection and processing pipelines
- Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
- 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 and effectively translate insights into actionable business recommendations.
- Experience with leveraging LLMs or other AI solutions to develop analytical tools.
Qualifications:
- 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 ideally in a tech or subscription-based company.
- Deep expertise in:
- Retention and engagement analytics
- Cohort and lifecycle analysis
- Subscription metrics (churn LTV ARPU)
- 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.
Skills Required
- 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)
- Expertise in experimental design and causal inference (A/B testing causal methods)
- Strong proficiency in SQL and Python (R also mentioned); experience with visualization tools (Tableau)
- 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
- Experience leveraging LLMs or other AI solutions to develop analytical tools
- Strong understanding of subscription economics and revenue optimization
- Excellent communication skills including presenting complex technical findings to executive audiences
- Track record of mentoring junior data scientists and elevating team standards
What the Team is Saying
SoFi Compensation & Benefits Highlights
- Parental & Family Support—Up to 12 weeks fully paid parental leave paid caregiver leave fertility/adoption resources and subsidized backup childcare/eldercare are offered. Pet insurance and family-building support further broaden the coverage.
- Healthcare Strength—Medical dental and vision coverage is paired with company-paid short- and long-term disability and life insurance. Mental-health support via Modern Health and employer HSA contributions enhance overall health support.
- Leave & Time Off Breadth—Flexible vacation for exempt employees generous PTO for non-exempt paid holidays and early-release “SoFi Fridays” expand time-off options. An additional 16 hours of paid volunteer time underscores community engagement.
SoFi Insights
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete but can come together to create something truly unconventional in the world. For the last eight years we’ve been charting this new path forward. We call it The SoFi Way. At SoFi we don’t just talk about culture: we live it. The SoFi Way is how we show up every day how we make decisions and how we build for our members clients and each other.
Why Work With Us
Together with our members we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront.
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SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule the in-office requirement is a handful of days per month!
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Date Posted
05/17/2026
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