Senior Data Scientist: Credit Modeling & AI

Capital One; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Data Scientist to develop predictive credit models and leverage explainability techniques across billions of customer records. You will collaborate with ML engineers, product managers, credit analysts, and data engineers to drive data-driven credit decisions.

The role emphasizes advanced statistics, time-series, and deep learning, with opportunities to explore cutting-edge ML methods.

Qualifications

• Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
• Master's degree in a quantitative field (or MBA with quantitative concentration) plus 3 years of data analytics experience.
• PhD in a quantitative field.

Responsibilities

• Develop modeling approaches to forecast credit outcomes in a rapidly changing economic environment.
• Apply 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 diverse specializations and experience.

Skills

Python

Scala

R

Machine learning

Explainability

Distributed computing

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Job description

Capital One is seeking a Data Scientist to develop predictive credit models and leverage explainability techniques across billions of customer records. You will collaborate with ML engineers, product managers, credit analysts, and data engineers to drive data-driven credit decisions.

The role emphasizes advanced statistics, time-series, and deep learning, with opportunities to explore cutting-edge ML methods.