Capital One
Senior Associate, Data Science - Consumer Credit Risk Models and Data
$136K–$155K
McLean, VA · Senior · Full-time · Posted Feb 26, 2026
- Experience
- Bachelor’s degree path requires 2 years of data analytics experience. Preferred experience includes 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
Deploys and modernizes model pipelines and platforms for consumer credit risk models used in loss forecasting, stress testing, and capital allocation.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver data products.
- Optimize and deploy machine learning models across design, training, evaluation, validation, and implementation.
- Use large-scale data and cloud technologies to produce insights and communicate their business value.
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 back-testing models.
Nice to have
- Experience working with AWS.
- At least 2 years’ experience in Python, Scala, or R; machine learning; or SQL.
Pay
$135,600 - $154,800 USD base salary
Tools
Python, Conda, AWS, Spark, Scala, R, SQL
AI focus
Uses machine learning and predictive models for consumer credit risk, including optimizing and deploying models through training, evaluation, validation, and implementation.
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