Senior Data Scientist, Credit Risk Modeling

Capital One; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate Data Scientist in McLean, VA to advance Consumer Credit Risk Models and Data initiatives. You’ll develop and deploy predictive models, collaborate with cross-functional teams, and scale analytic pipelines across large datasets.

The role emphasizes econometric techniques, cloud-based resources, and open-source tools, with opportunities to influence risk strategy and capital planning while growing your data science expertise in a dynamic, innovative

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, OR & Analytics) with 2+ years of data analytics experience or Master's/MBA with quantitative focus.
• Master’s or PhD in STEM or MBA with quantitative concentration preferred.
• Experience with AWS, Spark, and open-source data science tools is desirable.
• 2+ years’ experience in Python, Scala, or R and in machine learning; SQL experience is a plus.

Responsibilities

• Partner with cross-functional teams to deliver a data-driven product.
• Leverage Python, Spark, AWS, H2O to extract insights from large numeric and textual data.
• Build ML models through design, training, evaluation, validation and implementation.
• Translate complex analyses into clear business goals and actions.

Skills

Python

R

Scala

Machine learning

SQL

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

Tools

AWS

Spark

H2O

Job description

Capital One is seeking a Senior Associate Data Scientist in McLean, VA to advance Consumer Credit Risk Models and Data initiatives. You’ll develop and deploy predictive models, collaborate with cross-functional teams, and scale analytic pipelines across large datasets.

The role emphasizes econometric techniques, cloud-based resources, and open-source tools, with opportunities to influence risk strategy and capital planning while growing your data science expertise in a dynamic, innovative