Position Details
About this role
Principal Data Scientist role focused on AI in Credit, building models to forecast credit outcomes and applying explainability techniques in a regulated environment.
Key Responsibilities
- Develop modeling approaches to forecast credit outcomes in changing economy
- Apply explainability techniques to identify insights
- Develop AI-model-based decisioning frameworks
- Collaborate on cross-functional teams with ML engineers, product managers, and credit analysts
Technical Overview
Technical scope includes Python/Scala/R, ML algorithms, distributed computing (Hadoop/Spark), ML frameworks (TensorFlow, PyTorch), explainability techniques, and credit underwriting domain knowledge.
Ideal Candidate
The ideal candidate is a senior data scientist with strong Python/Scala/R expertise, 3+ years of ML and explainability experience, and a track record applying ML to credit underwriting in regulated environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Less than 3 years experience in Python/Scala/R, Less than 3 years experience in machine learning, Inability to work in the US without sponsorship
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