Senior Data Scientist – Consumer Credit Risk & ML Deployment

Capital One Group; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate Data Scientist in McLean, VA to advance Consumer Credit Risk Models and Data initiatives. You will collaborate with data scientists, engineers, and product managers to deploy predictive models across large data sets and translate results into business value.

The role emphasizes hands-on ML development, model deployment, and data-driven decision making, with strong emphasis on collaboration, learning, and innovation within a Fortune 200 data-driven

Qualifications

• Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
• Master's degree in a quantitative field or an MBA with a quantitative concentration.
• Experience with AWS and cloud platforms is preferred.
• 2+ years’ experience with Python, SQL, or R is required.
• Experience with machine learning techniques and modeling is preferred.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Build and deploy machine learning models from design through training, evaluation, validation, and implementation.
• Translate complex data science work into tangible business goals and outcomes.

Skills

AWS

Python

SQL

Machine learning

R/Scala

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

MBA with quantitative concentration

Job description

Capital One is seeking a Senior Associate Data Scientist in McLean, VA to advance Consumer Credit Risk Models and Data initiatives. You will collaborate with data scientists, engineers, and product managers to deploy predictive models across large data sets and translate results into business value.

The role emphasizes hands-on ML development, model deployment, and data-driven decision making, with strong emphasis on collaboration, learning, and innovation within a Fortune 200 data-driven