Capital One
Manager, Data Scientist, Data Solutions and Modeling
$179K–$205K
Chicago, IL +1 · Manager · Full-time · Posted Oct 9, 2026
- Location
- Chicago, IL
Riverwoods, IL - Experience
- Education-dependent data analytics experience: 6 years with a quantitative Bachelor's degree; 4 years with a quantitative Master's degree or quantitatively concentrated MBA; or 1 year with a quantitative PhD. Also, 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; alternatively, an MBA with a quantitative concentration. 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
Build machine learning models and AI tools for the Global Payment Network, supporting fraud and risk, merchant acceptance, merchant intelligence, and monitoring.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver customer-facing products.
- Develop machine learning models across design, training, evaluation, validation, and implementation.
- Analyze large numeric and textual datasets and translate findings into business goals.
What they ask for
- A quantitative Bachelor's degree plus 6 years of data analytics experience; or a quantitative Master's degree or quantitatively concentrated MBA plus 4 years; or a 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 using relational databases.
Nice to have
- PhD in a STEM field plus 3 years of model development; or 4+ years in Python, Scala, or R, machine learning, or SQL.
- Experience with LLMs, embedding models, vector databases, AI workflows, or autonomous AI agents.
Pay
$179,400 - $204,700 USD base salary (Riverwoods, IL); $179,400 - $204,700 USD base salary (Chicago, IL)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Build machine learning models and AI tools, including support for fraud/risk and merchant-related functions; LLM, AI workflow, and autonomous agent experience is preferred.
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