Staff Data Scientist
SoFi · Add ALL locations here ·
- Seniority
- Staff
- Employment
- Full time
- Category
- Data science
- Company size
- 1000+
- Salary
- USD 223,560 – 245,916 / year
SoFi · Add ALL locations here ·
SoFi Tech Solutions · WA - Seattle; NY - New York; CA - San Francisco
SoFi Tech Solutions · Switzerland - Lucerne
Banking, Fintech, Apis · Xico, Mexico
Go Fund Me · San Diego, CA; San Francisco, CA
Develop and improve machine learning models for credit underwriting and risk management using Python and cloud platforms.
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].
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OpenAI · San Francisco