Capital One
Manager Data Science - Global Payment Network AI Foundations
$179K–$246K
Riverwoods, IL +3 · Manager · Full-time · Posted Oct 13, 2026
- Location
- Riverwoods, IL
Richmond, VA
Chicago, IL
New York, NY - Experience
- Degree-dependent data analytics experience: 6 years with a bachelor's, 4 years with a master's or quantitative MBA, or 1 year with a PhD; plus at least 1 year each in open-source programming for large-scale data analysis, machine learning, and relational databases.
- Education
- Quantitative bachelor's, master's, or PhD; a quantitative MBA is an alternative to the master's. 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
Leads development and deployment of scalable AI and machine learning capabilities for payment-network merchant intelligence, fraud/risk, and enterprise automation.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver AI capabilities using network transaction data.
- Develop, adapt, fine-tune, and deploy NLP and LLM solutions for business users.
- Translate ML work into business value and strategic goals.
What they ask for
- One of: quantitative bachelor's degree plus 6 years in data analytics; quantitative master's degree or quantitative MBA plus 4 years; or quantitative 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 utilizing relational databases.
Nice to have
- PhD in a STEM field plus 3 years in model development.
- Experience with LLMs, embedding models, vector databases, AI workflows, or autonomous AI agents.
Pay
Richmond, VA: $179,400 - $204,700 USD base salary; New York, NY: $215,200 - $245,600 USD base salary; Riverwoods, IL: $179,400 - $204,700 USD base salary; Chicago, IL: $179,400 - $204,700 USD base salary
Tools
PyTorch, AWS, VectorDBs, LLMs, Python, Scala, R, SQL
AI focus
Builds machine learning engines and AI agents for merchant intelligence, acceptance growth, fraud/risk decisioning, and enterprise automation; applies NLP and LLMs to complex data and deploys solutions at scale.
Model-written summary · the original posting is authoritative