Senior Manager, Data Science - Card Fraud Prevention

Hobbsnews; McLean, Northern (VA, KY); Hybrid; 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 data science team to build and deploy ML models that prevent card fraud, leveraging Python, Spark, H2O, PyTorch, and Kubernetes across billions of records.

You will collaborate with data scientists, engineers, and product managers to translate analytics into business value, driving fast, scalable, and compliant fraud prevention solutions.

Qualifications

• Bachelor's/Master's/PhD in quantitative field with required analytics experience
• 2+ years experience with open source languages for large-scale data analysis
• 2+ years experience with machine learning
• 2+ years experience using relational databases

Responsibilities

• Partner with cross-functional teams to deliver a data science product
• Leverage Python, AWS, Spark, H2O, PyTorch and related stack to analyze large data volumes
• Build ML models from design to deployment
• Translate complex work into tangible business goals

Skills

Python

Machine learning

Relational databases

Open-source languages

Spark

PyTorch

R

Scala

AWS

Kubernetes

Education

Bachelor's Degree in a quantitative field + 7 years experience

Master's Degree in a quantitative field or MBA with quantitative concentration + 5 years

PhD in a quantitative field + 2 years

Tools

H2O

Ray

Conda

Spark

PyTorch

Kubernetes

AWS

Job description

Capital One is seeking a Senior Manager, Data Scientist for Card Fraud Prevention in McLean, VA. You will lead a data science team to build and deploy ML models that prevent card fraud, leveraging Python, Spark, H2O, PyTorch, and Kubernetes across billions of records.

You will collaborate with data scientists, engineers, and product managers to translate analytics into business value, driving fast, scalable, and compliant fraud prevention solutions.