Capital One
Director, Data Science
$245K–$335K
McLean, VA +4 · Director · Full-time · Posted Sep 30, 2026
- Location
- McLean, VA
San Francisco, CA
Cambridge, MA
Richmond, VA
New York, NY - Experience
- Degree-dependent data analytics experience: 9 years with a Bachelor's, 7 years with a Master's or quantitative MBA, or 4 years with a PhD; also at least 4 years each in open-source large-scale data analysis, production AI/ML model deployment, and A/B testing.
- Education
- Bachelor's, Master's, or PhD in a quantitative field; a quantitative-concentration MBA is an alternative to the Master's.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Designs and builds agentic AI products and machine-learning solutions, while measuring their impact through experiments and telemetry to inform enterprise strategy.
What you'll do
- Partner with data scientists, AI/ML engineers, and product managers to deliver enterprise products.
- Develop and implement machine-learning models across design, training, evaluation, validation, and deployment.
- Design experiments, analyze telemetry, and translate findings into AI strategy and business guidance.
What they ask for
- Qualifying quantitative degree and data analytics experience: Bachelor's plus 9 years, Master's or quantitative MBA plus 7 years, or PhD plus 4 years.
- At least 4 years using open-source programming languages for large-scale data analysis.
- At least 4 years building and deploying AI/ML models in production.
- At least 4 years designing and analyzing A/B tests.
Nice to have
- 3+ years working with AWS.
- 5+ years in Python, Scala, or R for large-scale data analysis; machine learning; or Spark.
Pay
Cambridge, MA: $269,100 - $307,200 USD base salary; McLean, VA: $269,100 - $307,200 USD base salary; New York, NY: $293,600 - $335,100 USD base salary; Richmond, VA: $244,700 - $279,200 USD base salary; San Francisco, CA: $293,600 - $335,100 USD base salary
Tools
Python, Conda, AWS, H2O, Spark, Scala, R
AI focus
Build agentic AI products and AI/ML models; design A/B tests and model telemetry to assess impact and guide AI strategy.
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