Capital One
Manager, Data Science - People Tech
$179K–$246K
New York, NY +2 · Manager · Full-time · Posted Sep 23, 2026
- Location
- New York, NY
Plano, TX
McLean, VA - Experience
- Data analytics: 6 years with a bachelor’s degree, 4 years with a master’s degree or quantitatively concentrated MBA, or 1 year with a PhD. Also requires at least 1 year 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; degree may be in progress if 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
Lead the development and production deployment of machine-learning and NLP solutions, including LLM-powered products, in partnership with engineering and product teams.
What you'll do
- Build, train, evaluate, and validate machine-learning and NLP models, then partner with engineering teams to deploy them in scalable production systems.
- Apply NLP and LLMs to numeric and textual data, adapting and fine-tuning models for customer-facing applications.
- Collaborate with cross-functional partners and communicate technical findings in terms of business goals.
What they ask for
- Quantitative-field degree and data-analytics experience: bachelor’s plus 6 years, master’s or quantitatively concentrated MBA plus 4 years, or PhD plus 1 year.
- At least 1 year using open-source programming languages for large-scale data analysis.
- At least 1 year working with machine learning.
- At least 1 year using relational databases.
Nice to have
- At least 4 years of machine-learning, AI-modeling, Python/Scala/R, or SQL experience; AWS experience.
- PhD in a STEM field.
Pay
USD $197,300 - $225,100 base salary; USD $215,200 - $245,600 base salary; USD $179,400 - $204,700 base salary
Tools
Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, Python, SQL
AI focus
Develop and deploy AI/ML products, with emphasis on NLP and adapting or fine-tuning LLMs for customer-facing applications. The role also involves model risk compliance and mentions training language or large computer-vision models.
Model-written summary · the original posting is authoritative