Lead Data Scientist, Customer Protection & Claims

capitalone; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Principal Data Scientist for Customer Protection Agentic Claims Data Science in McLean, VA. You’ll help build models to detect fraud and improve claims processing, leveraging a modern tech stack and large-scale data to drive better customer outcomes.

You will collaborate with data scientists, engineers, and product managers, applying Python, AWS, and related tools to deliver high-impact solutions from development to deployment.

Qualifications

• Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics
• Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics
• PhD in a quantitative field

Responsibilities

• Partner with a cross-functional team of data scientists, analysts, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

Skills

Machine learning

Data analytics

Cross-functional collaboration

Communication

Education

Bachelor's Degree in quantitative field

Master's Degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

SQL

Job description

Capital One is seeking a Principal Data Scientist for Customer Protection Agentic Claims Data Science in McLean, VA. You’ll help build models to detect fraud and improve claims processing, leveraging a modern tech stack and large-scale data to drive better customer outcomes.

You will collaborate with data scientists, engineers, and product managers, applying Python, AWS, and related tools to deliver high-impact solutions from development to deployment.