Capital One
Principal Data Scientist - AI Foundations, Specialist Models
$162K–$201K
McLean, VA +2 · Principal · Full-time · Posted Jul 7, 2026
- Location
- McLean, VA
New York, NY
San Jose, CA - 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: 3+ years each in Python, Scala, or R; machine learning; and SQL.
- Education
- Bachelor’s, master’s, or PhD in a quantitative field; a quantitative MBA is an alternative to the master’s degree.
- Visa sponsorship
- Will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and deploy machine-learning solutions for enterprise entity resolution, applying modern models and agentic AI workflows to large volumes of numeric and textual data.
What you'll do
- Partner with data science, engineering, and product teams to develop an entity resolution solution.
- Design, train, evaluate, validate, and implement machine-learning models using large datasets.
- Use Agentic AI tools and workflows to build and test, and communicate technical work 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 master’s in a quantitative field or quantitative MBA plus 3 years; or a PhD in a quantitative field.
- Degree must be held or in progress with completion expected on or before the scheduled start date.
Nice to have
- Master’s or PhD in a STEM field; experience with AWS.
- At least 3 years’ experience in Python, Scala, or R; machine learning; and SQL.
Pay
$161,800 - $184,600 USD annual base salary (McLean, VA); $176,500 - $201,400 USD annual base salary (New York, NY); $176,500 - $201,400 USD annual base salary (San Jose, CA)
Tools
Python, AWS, Spark, transformers, graph ML, Scala, R, SQL
AI focus
Develop entity-resolution machine-learning solutions using deep learning, transformer architectures, graph approaches, and agentic AI tools and workflows.
Model-written summary · the original posting is authoritative