Principal Associate, Data Science - US Card
About The Position
Data is at the center of everything Capital One does, having disrupted the credit card industry in 1988 by personalizing credit card offers using statistical modeling and relational databases. This data-driven approach has led Capital One to become a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist, you will join a team leading the next wave of disruption, utilizing the latest computing and machine learning technologies across billions of customer records to help individuals in their financial lives. The US Card Intelligence Segments organization builds industry-leading machine learning models for core underwriting decisions, collaborating with machine learning engineers, product managers, credit analysts, and data engineers. The AI in Credit team specifically develops next-generation predictive models to forecast customer card usage, involving a cross-functional collaboration specializing in applied credit, deep learning, and high-performance computing. In this role, you will develop modeling approaches to forecast credit outcomes in dynamic economic environments, apply cutting-edge explainability techniques for complex models, and create frameworks for AI-model-based decisioning within a highly regulated industry, all while collaborating with a diverse, cross-functional team.
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice To Haves
- Master’s Degree in an applied research field (physics/astronomy, chemistry, biology, engineering, operations research, sociology, etc.) plus 3 years of experience in data science, or PhD in an applied research field
- Experience in explainability a big plus
- Experience with distributed computing a plus
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with machine learning
Responsibilities
- Develop modeling approaches to forecast credit outcomes in a rapidly changing economic environment
- Apply cutting-edge explainability techniques to identify insights from complex models
- Develop frameworks for AI-model-based decisioning in a highly regulated industry
- Collaborate on a cross-functional team with a wide range of specializations and experience
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
