Capital One
Manager, Data Science - US Card Customer Management
$179K–$246K
New York, NY +3 · Manager · Full-time · Posted Sep 23, 2026
- Location
- New York, NY
McLean, VA
Cambridge, MA
Richmond, VA - Experience
- Required: 6 years with a bachelor's degree, 4 years with a master's degree or quantitative MBA, or 1 year with a PhD, in data analytics; plus at least 1 year each in open-source large-scale data analysis, machine learning, and relational databases.
- Education
- Bachelor's, master's, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration for the master's pathway. Required 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
Leads development of machine learning solutions for US Card customer management, including customer behavior prediction and valuation forecasting.
What you'll do
- Partner with data scientists, engineers, and product managers to deliver customer-facing products.
- Develop machine learning models from design through training, evaluation, validation, and implementation.
- Translate technical findings into business goals.
What they ask for
- Quantitative degree and data analytics experience: bachelor's plus 6 years, master's or quantitative 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
- PhD in a STEM field plus 3 years of data analytics experience.
- Experience with AWS; 4+ years in Python, Scala, or R for large-scale data analysis; 4+ years with machine learning; or 4+ years with SQL.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA); $197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Build and implement machine learning models for customer behavior prediction and valuation forecasting; the posting also names clustering, classification, sentiment analysis, time series, and deep learning.
Model-written summary · the original posting is authoritative