Description
Data is at the center of everything we do at Capital One. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases. Now, as a Fortune 200 company, we're leading the next wave of disruption using the latest computing and machine learning technologies.
The Global Network Analytics (GNA) team builds machine learning engines and AI agents to drive foundational, scalable intelligence across the payments ecosystem. You'll partner with a cross-functional team to deliver AI-powered capabilities that evaluate billions of network transactions and transform merchant intelligence.
Responsibilities
- Partner with data scientists, software engineers, ML engineers, and product managers to deliver AI-powered capabilities.
- Leverage a modern tech stack (PyTorch, AWS, VectorDBs, LLMs) to extract actionable insights from complex data feeds.
- Serve as the domain expert in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Translate technical ML complexity into tangible business value and strategic goals.
Requirements
- Currently has, or is in the process of obtaining a Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science).
- At least 1 year of experience leveraging open-source programming languages for large-scale data analysis.
- At least 1 year of experience working with machine learning.
- At least 1 year of experience utilizing relational databases.
Preferred Qualifications
- PhD in a STEM field plus 3 years of experience in model development.
- At least 4 years' experience in Python, Scala, or R.
- At least 4 years' experience with machine learning.
- At least 4 years' experience with SQL.
- Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases.
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.