Principal Data Scientist - Real-Time Fraud & Payments

Capital One Group; McLean (VA); Hybrid; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Principal Associate, Data Scientist to join the Bank Customer Protection Debit & Claims team in McLean, VA. You will develop real-time fraud detection models spanning the full ML lifecycle and collaborate with software engineers, product managers, and analysts to deliver measurable safety improvements for customers.

This role emphasizes building scalable models, applying gradient boosting, and exploring frontier AI approaches while ensuring production readiness and

Qualifications

• Bachelor's degree in a quantitative field +5 years of data analytics experience.
• Master's degree in quantitative field or MBA with quantitative concentration +3 years of data analytics.
• PhD in a quantitative field.
• At least 3 years' experience with machine learning for predictive tasks on large imbalanced datasets (fraud, risk, anomaly).
• 3 years' experience in Python and SQL; production-quality code preferred.

Responsibilities

• Partner with a cross-functional team to deliver a product that keeps customers safe from fraud.
• Leverage Python, AWS, Spark, SQL to reveal insights from large data volumes.
• Build machine learning models through all phases: design, training, evaluation, validation, deployment.
• Translate complex work into tangible business goals for stakeholders.

Skills

Python

SQL

Machine learning

Gradient boosting

Kubeflow

Kubernetes

Spark

H2O

Conda

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

PhD in quantitative field

Tools

Spark

H2O

AWS

Conda

Job description

Capital One is seeking a Principal Associate, Data Scientist to join the Bank Customer Protection Debit & Claims team in McLean, VA. You will develop real-time fraud detection models spanning the full ML lifecycle and collaborate with software engineers, product managers, and analysts to deliver measurable safety improvements for customers.

This role emphasizes building scalable models, applying gradient boosting, and exploring frontier AI approaches while ensuring production readiness and