Drimva

Capital One

Principal Associate, Data Science - US Card (Upmarket Segments)

$147K–$201K

McLean, VA +2 · Principal · Full-time · Posted Oct 23, 2026

Location
McLean, VA
New York, NY
Richmond, VA
Experience
5 years with a bachelor's degree; 3 years with a master's degree or quantitative-concentration MBA; no experience duration stated for PhD. Preferred: 1 year AWS; 3 years Python, Scala, or R; 3 years machine learning; 3 years SQL.
Education
Bachelor's, master's, or PhD in a quantitative field; alternatively an MBA with a quantitative concentration with the stated experience.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Develop and implement machine learning models to uncover insights from large datasets and support customer-focused products and business decisions.

What you'll do

  • Partner with data scientists, software engineers, and product managers to deliver products.
  • Build machine learning models across design, training, evaluation, validation, and implementation.
  • Translate analytical findings into business goals.

What they ask for

  • Bachelor's degree in a quantitative field plus 5 years of data analytics experience; or master's degree in a quantitative field or quantitative-concentration MBA plus 3 years; or PhD in a quantitative field.
  • Currently has, or is obtaining, the qualifying degree, with completion on or before the scheduled start date.

Nice to have

  • At least 1 year of AWS experience.
  • At least 3 years’ experience in Python, Scala, or R; machine learning; or SQL.

Pay

$161,800 - $184,600 USD base salary; $176,500 - $201,400 USD base salary; $147,100 - $167,900 USD base salary

Tools

Python, Conda, AWS, H2O, Spark, Scala, R, SQL

AI focus

Develop machine learning models through design, training, evaluation, validation, and implementation; work includes clustering, classification, sentiment analysis, time series, and deep learning.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)