Capital One
Director, Data Scientist - Generative AI Systems
$269K–$335K
McLean, VA +1 · Director · Full-time · Posted Aug 28, 2026
- Location
- McLean, VA
New York, NY - Experience
- Data analytics: 9 years with a bachelor’s, 7 years with a master’s or quantitative MBA, or 4 years with a PhD; also 4 years each in open-source programming for large-scale data analysis, machine learning, and relational databases.
- Education
- Bachelor’s, master’s, or PhD in a quantitative field, or an MBA with a quantitative concentration (master’s-level option).
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads a team developing generative AI solutions and production applications for customer interactions and business efficiency, from model design and training through deployment.
What you'll do
- Lead NLP, speech, and computer vision specialists and partner with product, engineering, and design teams to deliver AI-powered products.
- Adapt and fine-tune large language models and build, evaluate, and validate machine learning and NLP models.
- Work with engineering teams to operationalize models in scalable production systems and communicate their business value.
What they ask for
- Bachelor’s degree in a quantitative field plus 9 years of data analytics experience; or a master’s in a quantitative field or quantitative MBA plus 7 years; or a PhD in a quantitative field plus 4 years.
- At least 4 years leveraging 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.
Pay
USD $269,100 - $307,200 base salary; USD $293,600 - $335,100 base salary
Tools
Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs
AI focus
Leads development of generative AI applications across dialogue, summarization, reading comprehension, speech recognition, image/document processing, and time-series modeling; adapts and fine-tunes LLMs for customer-facing applications.
Model-written summary · the original posting is authoritative