Senior Data Scientist, Credit Risk & ML Platform

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

Job summary

Capital One is seeking a Senior Associate, Data Scientist for Consumer Credit Risk Models and Data in McLean, VA. You will partner with data scientists, engineers, and product managers to deploy predictive models and modernize model pipelines using Python, Spark, and cloud technologies.

The role emphasizes building models across development stages, communicating business goals, and applying advanced techniques in time series, clustering, and sentiment analysis.

Qualifications

• Currently has, or is in the process of obtaining a Bachelor's or Master's degree in a quantitative field (Statistics, Economics, OR, Analytics, Mathematics, CS) with required experience as applicable
• Master's degree or MBA with quantitative concentration preferred
• 2+ years of data analytics experience for quantitative degrees
• 2+ years’ experience with Python, Scala, or R

Responsibilities

• Partner with cross-functional team to deliver a product customers love
• Leverage Python, Conda, AWS, H2O, Spark to analyze large data volumes
• Build machine learning models through all development phases
• Translate technical work into tangible business goals

Skills

Python

Scala

R

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

Conda

Job description

Capital One is seeking a Senior Associate, Data Scientist for Consumer Credit Risk Models and Data in McLean, VA. You will partner with data scientists, engineers, and product managers to deploy predictive models and modernize model pipelines using Python, Spark, and cloud technologies.

The role emphasizes building models across development stages, communicating business goals, and applying advanced techniques in time series, clustering, and sentiment analysis.