Capital One
Senior Director, Data Scientist - Global Payment Network
$286K–$392K
Riverwoods, IL +3 · Director · Full-time · Posted Oct 2, 2026
- Location
- Riverwoods, IL
McLean, VA
Chicago, IL
New York, NY - Experience
- 10 years with a Bachelor’s Degree, 8 years with a Master’s Degree, or 5 years with a PhD in data analytics; at least 4 years each in open source programming languages for large scale data analysis, machine learning, and relational databases.
- Education
- Bachelor’s Degree, Master’s Degree, or PhD, with the experience alternatives stated in the posting.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads data science work for the Global Payment Network, developing and implementing machine learning models and translating data insights into customer-focused products and business goals.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver products.
- Develop machine learning models from design through training, evaluation, validation, and implementation.
- Analyze large numeric and textual datasets and communicate findings in business terms.
What they ask for
- At least 4 years of experience in open source programming languages for large scale data analysis.
- At least 4 years of experience with machine learning.
- At least 4 years of experience with relational databases.
- Bachelor’s Degree plus 10 years, Master’s Degree plus 8 years, or PhD plus 5 years of experience in data analytics.
Nice to have
- At least 1 year of experience working with AWS.
- At least 5 years of experience managing people.
Pay
USD $314,800 - $359,300 base salary (McLean, VA); USD $343,400 - $392,000 base salary (New York, NY); USD $286,200 - $326,700 base salary (Riverwoods, IL); USD $286,200 - $326,700 base salary (Chicago, IL)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R
AI focus
Build machine learning models, including work involving clustering, classification, sentiment analysis, time series, and deep learning.
Model-written summary · the original posting is authoritative