Capital One
Principal Associate, Data Scientist - Card Finance Innovation Team
$162K–$185K
McLean, VA · Principal · Full-time · Posted Jul 14, 2026
- Experience
- 5 years with a bachelor’s degree; 3 years with a master’s degree or quantitative MBA; no years specified for a PhD. Preferred experience includes 3 years in Python, Scala, or R, machine learning, and SQL, plus 1 year with AWS.
- Education
- Bachelor’s, master’s, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration at the master’s-level route.
- Visa sponsorship
- Will consider sponsoring a new qualified applicant for employment authorization.
About the job
Develop and deploy forecasting and machine-learning solutions for Card Finance planning, supporting monthly outlooks, annual budgets, and long-term strategy.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver data products.
- Build machine-learning models through design, training, evaluation, validation, and implementation.
- Translate analytical work into business goals and help develop the forecasting ecosystem.
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 MBA plus 3 years; or PhD in a quantitative field.
- Degree must be obtained by the scheduled start date if currently in progress.
Nice to have
- At least 3 years of experience in Python, Scala, or R; machine learning; and SQL.
- At least 1 year of experience working with AWS; a STEM master’s plus 3 years of data analytics, or STEM PhD.
Pay
$161,800 - $184,600 USD annual base salary (McLean, VA)
Tools
Python, Conda, AWS, H2O, Spark, OneLake, Snowflake, SQL
AI focus
Build and deploy machine-learning models and develop forecasting solutions for finance planning.
Model-written summary · the original posting is authoritative