Drimva

Capital One

Senior Manager, Data Science - AI Foundations

$225K–$281K

New York, NY +2 · Manager · Full-time · Posted Aug 28, 2025

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 is listed for the master's-level path.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads development and production delivery of scalable NLP and machine learning solutions, including fine-tuned large language models, for customer-facing Capital One app experiences.

What you'll do

  • Partner with data science, engineering, and product teams to deliver AI-powered customer products.
  • Design, train, evaluate, and validate machine learning and NLP models, and help operationalize them in scalable production systems.
  • Apply NLP and LLMs to customer-facing applications and communicate technical findings in business terms.

What they ask for

  • One of the stated quantitative-degree and data-analytics experience paths: bachelor's plus 7 years, master's or quantitatively concentrated MBA plus 5 years, or PhD plus 2 years.
  • At least 2 years leveraging open source programming languages for large-scale data analysis.
  • At least 2 years working with machine learning.
  • At least 2 years utilizing relational databases.

Nice to have

  • Experience working with AWS.
  • At least 5 years’ experience in Python, Scala, or R; machine learning; or SQL.

Pay

$225,400 - $257,200 USD base salary (McLean, VA); $245,900 - $280,600 USD base salary (New York, NY); $245,900 - $280,600 USD base salary (San Jose, CA)

Tools

Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, Python, Scala

AI focus

Develops and deploys scalable AI/ML and NLP for customer-facing app features, including training, adapting, and fine-tuning LLMs.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)