Capital One
Director, Data Scientist
$269K–$335K
McLean, VA +1 · Director · Full-time · Posted Jun 2, 2026
- Location
- McLean, VA
New York, NY - Experience
- Data analytics: 9 years with a bachelor's degree, 7 years with a master's or quantitative MBA, or 4 years with a PhD. Also requires at least 4 years each in open-source programming for large-scale analysis, machine learning, and relational databases.
- Education
- Quantitative-field bachelor's, master's, or PhD; a quantitative-concentration MBA is an alternative to the master's. Degree may be in progress, with completion expected by the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads a team of generative AI specialists and develops machine learning solutions for customer-facing and internal products, including dialogue, summarization, speech, and document processing.
What you'll do
- Lead NLP, speech, and computer vision specialists experimenting with generative AI, delivering software, and contributing research to conferences.
- Build machine learning models from design and training through evaluation, validation, and implementation.
- Partner with data scientists, engineers, and product managers to deliver products and translate technical work into business goals.
What they ask for
- Quantitative-field 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 working with machine learning.
- At least 4 years using relational databases.
Nice to have
- At least 1 year working with AWS.
- At least 3 years managing people; at least 5 years using Python, Scala, or R for large-scale data analysis; or at least 5 years with machine learning.
Pay
USD $269,100 - $307,200 base salary (McLean, VA); USD $293,600 - $335,100 base salary (New York, NY)
Tools
Python, Kubernetes, AWS, H2O, Spark, Scala, R
AI focus
Leads and develops generative AI solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series sequencing; delivers AI software and contributes conference research.
Model-written summary · the original posting is authoritative