Capital One
Manager, Data Scientist - US Card (Upmarket Acquisitions)
$197K–$246K
McLean, VA +2 · Manager · Full-time · Posted Sep 11, 2026
- Location
- McLean, VA
New York, NY
Cambridge, MA - Experience
- Required analytics experience varies by degree: 6 years with a Bachelor's, 4 years with a Master's or quantitative MBA, or 1 year with a PhD; additionally, at least 1 year each in open-source large-scale data analysis, machine learning, and relational databases.
- Education
- Bachelor's, Master's, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration is listed for the Master's pathway.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization.
About the job
Leads development and delivery of machine-learning models that support US Card credit-card underwriting and customer acquisition decisions.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver data-science solutions.
- Build machine-learning models across design, training, evaluation, validation, and implementation.
- Translate technical findings into business goals and develop team talent.
What they ask for
- Quantitative degree and analytics experience: Bachelor's plus 6 years, Master's or quantitative MBA plus 4 years, or PhD plus 1 year.
- At least 1 year using open-source programming languages for large-scale data analysis.
- At least 1 year working with machine learning.
- At least 1 year using relational databases.
Nice to have
- PhD in a STEM field plus 3 years of data analytics experience.
- At least 1 year with AWS; at least 4 years in Python, Scala, or R for large-scale data analysis; at least 4 years with machine learning; or at least 4 years with SQL.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA); $197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Develops and owns machine-learning models for credit-card underwriting and customer acquisition, including model validation, implementation, monitoring, governance, and ongoing releases.
Model-written summary · the original posting is authoritative