Senior Manager, Fraud ML & Data Science

Capital One National Association; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Senior Manager, Data Scientist for Card Fraud Prevention in McLean, VA. You will lead a team building production ML models to detect and mitigate fraud, using Python, Spark, Ray, H2O, PyTorch, and Kubernetes on a modern data stack.

The ideal candidate blends deep technical expertise with leadership, communicates business impact clearly, and mentors others while driving scalable, data-driven decisions across large datasets.

Qualifications

• Bachelor's degree in a quantitative field plus 7 years of data analytics experience.
• Master's degree or MBA with quantitative concentration plus 5 years of data analytics experience.
• PhD plus 2 years of data analytics experience.

Responsibilities

• Collaborate with data scientists, software engineers, and product managers to build a product customers love.
• Leverage Python, Spark, AWS and related tools to extract insights from large numeric and textual data.
• Build machine learning models from design through training, evaluation, validation and implementation.
• Translate complex work into tangible business goals for stakeholders.

Education

Bachelor's Degree in quantitative field

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

PhD in quantitative field

Tools

Python

Spark

Ray

H2O

PyTorch

Kubernetes

Job description

Capital One is seeking a Senior Manager, Data Scientist for Card Fraud Prevention in McLean, VA. You will lead a team building production ML models to detect and mitigate fraud, using Python, Spark, Ray, H2O, PyTorch, and Kubernetes on a modern data stack.

The ideal candidate blends deep technical expertise with leadership, communicates business impact clearly, and mentors others while driving scalable, data-driven decisions across large datasets.