Senior Data Scientist & Team Lead

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One’s US Card Data Science team builds industry-leading ML models to support underwriting decisions for credit card customers. You will work with data engineers, product managers, and analysts to drive end-to-end model development and deployment across billions of records.

Ideal candidates have hands-on experience with Python, cloud platforms, and open-source ML tools, and thrive on solving big data challenges while delivering business impact.

Qualifications

• Bachelor's, Master's or PhD in a quantitative field with required analytics experience
• At least 1 year using open source languages for large-scale data analysis
• At least 1 year of machine learning experience
• At least 1 year of experience with relational databases

Responsibilities

• Collaborate with data scientists, software engineers, and product managers to deliver a data-driven product
• Utilize Python, AWS, H2O, Spark to extract insights from large data volumes
• Develop ML models through all stages from design to deployment
• Translate complex technical concepts into measurable business outcomes

Skills

Python

Open source

Machine learning

Relational databases

AWS

Spark

H2O

Conda

Education

Bachelor's degree

Master's degree

PhD

Tools

AWS

H2O

Spark

Conda

Job description

Capital One’s US Card Data Science team builds industry-leading ML models to support underwriting decisions for credit card customers. You will work with data engineers, product managers, and analysts to drive end-to-end model development and deployment across billions of records.

Ideal candidates have hands-on experience with Python, cloud platforms, and open-source ML tools, and thrive on solving big data challenges while delivering business impact.