Capital One
Senior Associate, Data Scientist - Credit Card Innovation
$123K–$169K
McLean, VA +3 · Senior · Full-time · Posted Sep 18, 2026
- Location
- McLean, VA
Cambridge, MA
Chicago, IL
New York, NY - Experience
- Bachelor's route: 2 years performing data analytics. Preferred: at least 2 years in Python, Scala, or R; machine learning; and SQL.
- Education
- Bachelor's degree in a quantitative field plus 2 years of data analytics experience, or a master's degree in a quantitative field or an MBA with a quantitative concentration.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and deploy models and analytical capabilities for a credit decisioning platform, using financial data and machine learning to support credit decisions.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver customer-facing products.
- Develop machine learning models through design, training, evaluation, validation, and implementation.
- Build scoring platforms and analytical tools, using large and varied data sources to improve credit decisioning.
What they ask for
- Bachelor's degree in a quantitative field plus 2 years of data analytics experience, or a master's degree in a quantitative field or an MBA with a quantitative concentration.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models; familiarity with clustering, classification, sentiment analysis, time series, and deep learning.
Nice to have
- Master’s or PhD in a STEM field.
- Experience with AWS; at least 2 years’ experience in Python, Scala, or R, machine learning, and SQL.
Pay
USD $135,600 - $154,800 base salary (Cambridge, MA); USD $123,300 - $140,700 base salary (Chicago, IL); USD $135,600 - $154,800 base salary (McLean, VA); USD $148,000 - $168,900 base salary (New York, NY)
Tools
Python, Snowflake, Conda, AWS, H2O, Spark, Scala, R
AI focus
Develop and deploy machine learning and statistical models for credit scoring and decisioning, including model training, evaluation, validation, and implementation.
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