Position Details
About this role
Principal Associate Data Scientist for US Card focuses on building ML-driven credit decisioning models, collaborating with cross-functional teams and leveraging a modern data stack (Python, AWS, H2O, Spark) on large-scale datasets.
Key Responsibilities
- Partner with cross-functional teams to deliver ML models
- Leverage Python, Conda, AWS, H2O, Spark
- Build ML models through all development phases
- Translate technical work into business goals
- Communicate complex results effectively
Technical Overview
Strong ML background with Python/SQL, cloud (AWS), H2O and Spark knowledge; experience with credit risk in financial services is highly valued.
Ideal Candidate
The ideal candidate is a principal associate data scientist with deep ML experience in credit risk and US card products, comfortable leading a data science effort across multiple locations and collaborating with engineers and product managers.
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
Lack of required ML, SQL, and Python experience, Inability to work across multiple locations/on-site
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