Capital One
Senior Manager, Data Science - AI Foundations
$230K–$286K
New York, NY +2 · Manager · Full-time · Posted Sep 4, 2026
- Location
- New York, NY
McLean, VA
San Jose, CA - Experience
- Data analytics: 7 years with a Bachelor's degree, 5 years with a Master's degree or quantitatively concentrated MBA, or 2 years with a PhD. Also requires at least 2 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; alternatively, an MBA with a quantitative concentration for the Master's-degree pathway. Required degree must be obtained 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 the development and deployment of scalable NLP and machine-learning solutions, including generative AI features for Capital One’s mobile app.
What you'll do
- Partner with data science, engineering, and product teams to deliver AI-powered customer products.
- Design, train, evaluate, and validate ML/NLP models, adapting and fine-tuning language models for customer-facing applications.
- Work with engineering teams to operationalize models in scalable production systems and communicate their business value.
What they ask for
- A quantitative-field Bachelor's degree plus 7 years of data analytics experience; or a quantitative-field Master's degree or quantitatively concentrated MBA plus 5 years; or a quantitative-field PhD plus 2 years.
- At least 2 years of experience using open-source programming languages for large-scale data analysis.
- At least 2 years of experience working with machine learning.
- At least 2 years of experience utilizing relational databases.
Nice to have
- PhD in a STEM field.
- Experience with AWS; 5+ years with Python, Scala, or R; 5+ years with machine learning; or 5+ years with SQL.
Pay
$229,900 - $262,400 USD base salary (McLean, VA); $250,800 - $286,200 USD base salary (New York, NY); $250,800 - $286,200 USD base salary (San Jose, CA)
Tools
Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, Python, SQL
AI focus
Develops and deploys generative AI, NLP, and machine-learning solutions; adapts and fine-tunes LLMs for customer-facing features. The posting also mentions training language or large computer-vision models and expertise in areas such as training optimization, self-supervised learning, explainability, or RLHF.
Model-written summary · the original posting is authoritative