Social Finance Inc. seeks Senior Data Scientist - Loss Forecasting in San Francisco, CA:

Job Duties: Develop quantitative/machine learning models to forecast product losses. Aggregate and
synthesize data sets from multiple data environments. Analyze complex datasets to understand the
performance and drivers for losses across various products. Investigate external credit data to identify
trends in the market and industry. Conduct loss sensitivity analysis. Automate models and analytical
dashboards. Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting and
Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and
executed appropriately. Telecommuting is an option.

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Mathematics, or
closely related quantitative discipline, and one (1) year of experience in job offered or in any occupation
in a related field, OR Bachelor’s degree, or foreign equivalent, in Data Science, Mathematics or closely
related quantitative discipline and five (5) years of progressively responsible experience in job offered or
in any occupation in a related field.

Special Skill Requirements: (1) Data Analytics; (2) Python; (3) SQL; (4) Statistical Models; (5) Distributed
Computing; (6) Spark; (7) R; (8) Machine Learning; (9) Tableau; (10) Predictive Modeling. Any suitable
combination of education, training and/or experience is acceptable. Telecommuting is an option.

Salary: $186,846.00 - $214,872.00 per annum

Submit resume with references to: Req.# 22-131673 at: ATTN: HR, jobadverts@sofi.org.

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