Social Finance Inc. seeks Senior Data Scientist (Machine Learning) 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 loan processing, loan
underwriting, loss mitigation, and fraud/account takeover identification, etc. Proactively identify
opportunities to apply advanced machine learning approaches 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.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,
Statistics, Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and two (2)
years of experience in the field of software engineering/program analysis or two (2) years of experience
in the job offered or Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Statistics,
Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and five (5) years of
progressively responsible experience in the field of software engineering/program analysis or five (5)
years of experience in the job offered.
Special Skill Requirements: (1) Machine Learning for supervised and unsupervised learning, including
regression, clustering; outlier detection; novelty detection, nearest neighbors, support vector machines,
ensemble methods and boosting, neural networks, and deep learning and its various applications (1
year); (2) Python; (3) Databases and related languages and tools including SQL, NoSQL, and Hive; (4)
Advanced machine learning approaches, including natural language processing, image recognition, and
graph mining; (5) Model Implementation; (6) Model Monitoring; (7) Statistical models; (8) Data Analysis.
Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an
option.
Salary: $185,000.00 - $212,750.00 per annum.
Submit resume with references to: Req.# 22-128312 at: ATTN: Rae Myles, rmyles@sofi.org.

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