Capital One
Senior Director, Data Science
$286K–$392K
McLean, VA +4 · Director · Full-time · Posted Oct 7, 2026
- Location
- McLean, VA
San Francisco, CA
Cambridge, MA
Richmond, VA
New York, NY - Experience
- 6–11 years performing data analytics depending on degree; at least 6 years each in open-source programming languages for large-scale data analysis, machine learning, and relational databases.
- Education
- Quantitative bachelor's, master's, or PhD; a quantitative MBA may substitute for the master's degree.
- Visa sponsorship
- Will consider sponsoring a new qualified applicant for employment authorization.
About the job
Leads data science for agentic AI products, shaping AI/ML solutions and strategy through modeling, experimentation, and impact analysis.
What you'll do
- Partner across engineering, research, and architecture teams to guide decisions through modeling and define technology direction.
- Lead the design, training, evaluation, validation, implementation, and stress-testing of machine learning models.
- Analyze experiments and telemetry, and communicate model strategy, business use, and risks to senior leaders and regulatory partners.
What they ask for
- Quantitative bachelor's degree plus 11 years, master's degree or quantitative MBA plus 9 years, or quantitative PhD plus 6 years performing data analytics.
- At least 6 years leveraging open-source programming languages for large-scale data analysis.
- At least 6 years working with machine learning.
- At least 6 years utilizing relational databases.
Nice to have
- At least 6 years of experience in Python, Scala, or R for large-scale data analysis; at least 2 years working with AWS.
- At least 6 years with complex architectural patterns, APIs, microservices, and event streams, or DevOps/DevSecOps and CI/CD pipelines.
Pay
$314,800 - $359,300 USD base salary (Cambridge, MA); $314,800 - $359,300 USD base salary (McLean, VA); $343,400 - $392,000 USD base salary (New York, NY); $286,200 - $326,700 USD base salary (Richmond, VA); $343,400 - $392,000 USD base salary (San Francisco, CA)
Tools
Python, Scala, R, AWS, Jenkins, Artifactory, Chef, Ansible
AI focus
Builds and guides agentic AI products, including autonomous coding agents, context engineering, and an agentic model-development lifecycle; includes AI/ML modeling, A/B experimentation, telemetry analysis, impact optimization, and AI strategy.
Model-written summary · the original posting is authoritative