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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.
Social Finance, LLC seeks Staff Data Scientist in New York, NY:
Job Duties: Develop, implement, and continuously improve machine learning models
and strategies that support various credit and operational procedures including but not
limited to underwriting, loan processing, loss mitigation, and fraud/account takeover.
Proactively identify opportunities to apply advanced machine learning approaches (e.g.,
NLP, Image Recognition, Graph Mining, etc) to solve complex business problems.
Explore and leverage in-house, external, and other open-source machine learning
software/algorithms. Collaborate with Model Risk Management team to demonstrate
models are developed with high level rigor that satisfy Model Risk Management and
Governance requirements. Work closely with the Product and Engineering teams for
model deployment. Perform ongoing monitoring of the models through the construction
of dashboards and KPI tracking. Present model performance and insights to Credit,
Risk, and Business Unit leaders. Telecommuting is an option. Some travel to Sofi
offices may be required.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer
Science, Data Science, or a related quantitative discipline, and two (2) years of
experience in the job offered or in any occupation in related field.
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) Model Implementation; (5)
Model Monitoring; (6) Statistics; (7) Data Analysis. Any suitable combination of
education, training and/or experience is acceptable. Telecommuting is an option.
Some travel to Sofi offices may be required.
Salary: $247,200.00 - $284,280.00 per annum and standard company benefits.
Submit resume with references to: Req.# 24-146863 at: ATTN: HR, [email protected]
or apply through this posting.
Application Deadline: 11/04/2025
#LI-DNI
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What the Team is Saying
What We Do
For over a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/
Our core values are at the center of how we help our millions of members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.
SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.
For more information, visit SoFi.com
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!
