Employee Applicant Privacy Notice
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.
SoFi Bank N.A. seeks Staff Data Scientist in San Francisco, CA:
Job Duties: Identify opportunities and collaborate cross functionally to develop, implement, and continuously improve machine learning models and strategies that support credit underwriting. Identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems. Evaluate alternative data sources and external vendor solutions by defining and driving proof of concept projects to demonstrate the solutions business values. Explore and leverage inhouse, external, and other opensource machine learning software/algorithms. Contribute in enhancing SoFi’s risk model development code base by developing customized Python scripts or packages. Collaborate with Model Risk Management team and Fair Lending team to demonstrate models are developed with high level rigor that satisfy Model Risk Management requirements, Fair Lending requirements, and other regulatory requirements. Spearhead model deployment by collaborating with cross functional teams including Credit, Product, Engineering, and Business Unit. Present model performance and insights to Credit, Risk, and Business Unit leaders. Full-time telecommuting is an option.
Requirements: Master’s degree in Statistics, Data Science, or a related quantitative discipline and (5) five years of experience in the job offered or a related occupation Or Bachelor’s degree in Statistics, Data Science, or a related quantitative discipline and (7) seven years of experience in the job offered or a related occupation.
Special Skill Requirements: (1) Machine Learning and statistical modeling for supervised and unsupervised learning; (2) Python; (3) Databases and related languages and tools including SQL, NoSQL, and Hive; (4) Statistical Inference (5) Full model development cycle on modern cloud platform including model development, implementation and monitoring; (6) Experience in unsecured loan credit and cashflow underwriting. (7) Familiar with credit bureau data such as Experian, TransUnion or Equifax (8) Experience in model implementation including CICD pipeline and deployment of models to production endpoints. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option.
Salary: $223,560.00 - $245,916.00 per year.
Submit resume with references using the apply button on this posting or by email to: Req.# 1014.40.2 at: ATTN: HR, [email protected].
#LI-DNI
Skills Required
- Master's in Statistics, Data Science, or related +5 years experience OR Bachelor's +7 years experience
- Machine learning and statistical modeling for supervised and unsupervised learning
- Python
- Databases and related languages/tools including SQL, NoSQL, and Hive
- Statistical inference
- Full model development cycle on modern cloud platforms, including development, implementation, and monitoring
- Experience in unsecured loan credit and cashflow underwriting
- Familiarity with credit bureau data (Experian, TransUnion, Equifax)
- Experience in model implementation including CI/CD pipeline and deployment of models to production endpoints
What the Team is Saying
SoFi Compensation & Benefits Highlights
-
Healthcare Strength — Core coverage is described as comprehensive—medical, dental, and vision—along with company‑paid life and disability insurance, HSA/FSA options, and access to mental‑health support including therapy sessions and EAP resources. Materials also note heavily subsidized U.S. medical premiums and no‑cost digital mental‑health care.
-
Parental & Family Support — Public benefits list up to 12 weeks of fully paid parental leave, plus fertility/adoption/surrogacy support, paid caregiver leave, and subsidized backup child/elder care. Pet insurance and related family‑oriented resources are also highlighted.
-
Affordable Benefits — Benefits pages describe significantly subsidized medical coverage, 100% employer‑paid premiums for certain dental/vision plans, and employer HSA contributions on HDHP options. These features point to lower out‑of‑pocket costs for several core benefits.
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.
Gallery
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!
