Principal Data Scientist, Fraud & Claims ML

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

Job summary

Capital One is seeking a Principal Data Scientist for Bank Customer Protection Debit & Claims in McLean, VA. You will partner with data scientists, engineers, and product managers to build ML models across the full development cycle, using Python, AWS, Spark, and H2O to drive real-time decision systems.

The role emphasizes customer-first thinking, strong communication, and experience applying advanced ML methods including time series, clustering, and deep learning.

Qualifications

• Master’s Degree in STEM field plus 3 years of experience in data analytics, or PhD in STEM field
• At least 3 years’ experience with machine learning for predictive tasks
• At least 3 years’ experience in Python
• At least 1 year of experience with SQL
• At least 1 year of experience working with AWS
• Experience coordinating data science projects in cross-functional teams
• Experience applying LLMs to solve real-world problems

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 insights from huge data
• Build machine learning models through all phases of development, from design to training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

Skills

Machine learning

Python

SQL

AWS

LLMs

Cross-functional coordination

Education

Master’s in STEM field

PhD in STEM field

Tools

Spark

H2O

Job description

Capital One is seeking a Principal Data Scientist for Bank Customer Protection Debit & Claims in McLean, VA. You will partner with data scientists, engineers, and product managers to build ML models across the full development cycle, using Python, AWS, Spark, and H2O to drive real-time decision systems.

The role emphasizes customer-first thinking, strong communication, and experience applying advanced ML methods including time series, clustering, and deep learning.