Drimva

Capital One

Senior Associate, Data Science

$123K–$155K

McLean, VA +1 · Senior · Full-time · Posted Aug 21, 2026

Location
McLean, VA
Richmond, VA
Experience
2 years of data analytics experience is required with a bachelor’s degree; preferred experience includes at least 2 years in Python, Scala, or R, machine learning, and SQL.
Education
Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a master’s degree in a quantitative field or an MBA with a quantitative concentration. Degree may be in progress if obtained by the scheduled start date.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Develop and govern models for credit-card loss forecasting, assess model risks, and communicate their business impact.

What you'll do

  • Partner with data scientists, software engineers, and product managers to identify and quantify model risks.
  • Build statistical and machine-learning models to challenge production champion models and contribute to model governance.
  • Present the potential business impact of model risks to executives.

What they ask for

  • Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a quantitative master’s degree or an MBA with a quantitative concentration.
  • For the bachelor’s-degree route, the required degree must be obtained by the scheduled start date.

Nice to have

  • Master’s or PhD in a STEM field; experience working with AWS.
  • At least 2 years’ experience in Python, Scala, or R; machine learning; or SQL.

Pay

$135,600 - $154,800 USD base salary; $123,300 - $140,700 USD base salary

Tools

Python, Conda, AWS, Spark, Scala, R, SQL

AI focus

Build and validate statistical and machine-learning models for credit-card loss forecasting, challenge production models, and contribute to model governance.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)