Staff Data Scientist

SoFi

Posted 1mo ago

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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
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
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

Master's degree in Statistics, Data Science, or related quantitative discipline and 5 years of experience, or Bachelor's degree and 7 years of experience
Machine Learning and statistical modeling for supervised and unsupervised learning
Python
Databases and related languages and tools including SQL, NoSQL, and Hive
Statistical Inference
Full model development cycle on modern cloud platform including model development, implementation and monitoring
Experience in unsecured loan credit and cashflow underwriting
Familiar with credit bureau data such as Experian, TransUnion or Equifax
Experience in model implementation including CICD pipeline and deployment of models to production endpoints

Skills