Capital One
Director, Data Scientist - Global Payment Network
$245K–$335K
Riverwoods, IL +3 · Director · Full-time · Posted Oct 2, 2026
- Location
- Riverwoods, IL
McLean, VA
Chicago, IL
New York, NY - Experience
- Degree-dependent data analytics experience: 9 years with a bachelor's, 7 with a master's or quantitative MBA, or 4 with a PhD; plus 4 years each in open-source programming for large-scale analysis, machine learning, and relational databases.
- Education
- Bachelor's, master's, or PhD in a quantitative field; a quantitative-concentration MBA is an alternative to the master's degree.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads development of scalable machine-learning models and AI tools for fraud, risk, merchant acceptance, intelligence, and monitoring across the payments ecosystem.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver customer-facing products.
- Build and implement machine-learning models through design, training, evaluation, and validation.
- Translate complex analyses into business goals and help improve practices and develop talent.
What they ask for
- Quantitative-field degree and data-analytics experience: bachelor's plus 9 years, master's or quantitative MBA plus 7 years, or PhD plus 4 years.
- At least 4 years using open-source programming languages for large-scale data analysis.
- At least 4 years working with machine learning.
- At least 4 years using relational databases.
Nice to have
- Experience leading data-science solutions across multiple projects in payments, financial services, or fintech.
- At least 1 year with AWS; at least 3 years managing people; or at least 5 years in Python, Scala, or R for large-scale data analysis or machine learning.
Pay
$269,100 - $307,200 USD base salary (McLean, VA); $293,600 - $335,100 USD base salary (New York, NY); $244,700 - $279,200 USD base salary (Riverwoods, IL); $244,700 - $279,200 USD base salary (Chicago, IL)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R
AI focus
Builds machine-learning models and AI tools for fraud/risk, merchant acceptance, merchant intelligence, and monitoring.
Model-written summary · the original posting is authoritative