Capital One
Senior Associate, Data Scientist - Card Intelligence
$136K–$169K
McLean, VA +2 · Senior · Full-time · Posted Oct 15, 2026
- Location
- McLean, VA
New York, NY
Cambridge, MA - Experience
- 2 years of data analytics experience required for the bachelor's-degree pathway; preferred: at least 2 years each 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.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and deploy machine-learning models across the credit-card lifecycle, using customer data to inform business strategy and improve customer experiences.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver customer-facing products.
- Analyze large volumes of numeric and textual data using data science technologies.
- Develop models from design through training, evaluation, validation, and implementation, and communicate findings in business terms.
What they ask for
- 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.
- Expected degree completion on or before the scheduled start date if currently pursuing the degree.
Nice to have
- Master’s or PhD in a STEM field; experience with AWS.
- At least 2 years’ experience in Python, Scala, or R; machine learning; and SQL.
Pay
$135,600 - $154,800 USD base salary (Cambridge, MA); $135,600 - $154,800 USD base salary (McLean, VA); $148,000 - $168,900 USD base salary (New York, NY)
Tools
Python, Conda, AWS, H2O, Spark
AI focus
Develop and deploy machine-learning models, including work involving classification, clustering, sentiment analysis, time series, and deep learning.
Model-written summary · the original posting is authoritative