Capital One
Principal, Data Scientist - Card Intelligence
$162K–$201K
McLean, VA +2 · Principal · Full-time · Posted Oct 15, 2026
- Location
- McLean, VA
New York, NY
Cambridge, MA - Experience
- 5 years with a quantitative bachelor's degree; 3 years with a quantitative master's degree or quantitatively concentrated MBA; no years specified for a quantitative PhD.
- Education
- Bachelor's, master's, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration (with the stated experience requirement).
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and deploy data science and machine learning models across the credit card lifecycle, turning customer data insights into business and product outcomes.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver customer-facing products.
- Develop machine learning models from design and training through evaluation, validation, and implementation.
- Analyze large volumes of numeric and textual data and communicate findings in terms of business goals.
What they ask for
- Bachelor's degree in a quantitative field plus 5 years of data analytics experience; or a quantitative master's degree or quantitatively concentrated MBA plus 3 years of data analytics experience; or a quantitative PhD.
- Degree must be held or in progress, with completion expected on or before the scheduled start date.
Nice to have
- At least 1 year of experience with AWS.
- At least 3 years’ experience in Python, Scala, or R; machine learning; or SQL.
Pay
$161,800 - $184,600 USD base salary (Cambridge, MA and McLean, VA); $176,500 - $201,400 USD base salary (New York, NY)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Develop and deploy machine learning models for credit card marketing, acquisitions, underwriting, and fraud prevention.
Model-written summary · the original posting is authoritative