Capital One
Senior Associate, Data Scientist - Recommendation & Personalization Systems
$136K–$169K
McLean, VA +2 · Senior · Full-time · Posted Sep 17, 2026
- Location
- McLean, VA
New York, NY
San Jose, CA - Experience
- Bachelor’s degree path requires 2 years performing data analytics; preferred experience includes at least 2 years 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.
About the job
Build and deploy machine-learning recommendation and personalization systems for Capital One’s web and mobile applications, working across large-scale customer data.
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 and cloud technologies.
- Develop machine-learning models through design, training, evaluation, validation, and implementation.
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.
- Required degree must be obtained on or before the scheduled start date.
Nice to have
- Master’s or PhD in a STEM field; experience with AWS.
- At least 2 years of experience in Python, Scala, or R; machine learning; and SQL.
Pay
USD $135,600 - $154,800 base salary (McLean, VA); USD $148,000 - $168,900 base salary (New York, NY); USD $148,000 - $168,900 base salary (San Jose, CA)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Research and development of personalized recommendation systems, including foundation models, reinforcement learning, causal inference, transformer-based architectures, and recommender systems.
Model-written summary · the original posting is authoritative