Manager Data Scientist

Information Technology Senior Management Forum

Capital One revolutionized the credit card industry by personalizing offers with pioneering statistical models and databases, establishing a foundation for its Fortune 200 status. The Retail Bank Customer Protection Data Science team focuses on fraud prevention through innovative model-based defenses. The team partners with engineering, analysts, and product managers to create solutions that secure customer transactions.

In this role you can expect to have the responsibilities:

• Utilize Python, AWS, and Spark to build models for fraud detection with deep learning solutions such as transformers and LSTMs.
• Align technical expertise with fraud prevention strategy to create impactful solutions.
• Drive a research agenda that supports business goals.
• Collaborate with cross-functional teams to deliver advanced fraud defenses.
• Lead machine learning model development from design to implementation.

This role comes with the following benefits:

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligible for performance-based compensation including bonuses and incentives.

This role requires you to have:

• Bachelor’s, Master’s, or PhD in relevant field with experience in data analytics.
• Proficiency in open source programming languages for large scale analysis.
• Experience with machine learning and relational databases.

You would benefit from having:

• PhD in STEM field preferred.
• Experience with AWS and sequence modeling with PyTorch/Tensorflow.
• Advanced expertise in Python and SQL for data analysis.

Capital One is dedicated to diversity and inclusion, ensuring a drug-free workplace and compliance with applicable laws regarding criminal history inquiries. The company offers accommodations for applicants with disabilities.