Senior Manager, Data Scientist - Applied Ai

Capital One

McLean, VA, US
Base: $229,900 - $286,200; bonus/equity: performan...
Generative ai models
Large language models (llms)
Transformer-based architectures
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records

Job Summary

  • As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
  • The Card Genesis team builds and ships state-of-the-art Gen AI models that serve as the intelligence for Capital One’s US Card business, partnering with product, tech, and design teams to deliver next-generation applications.
  • You will work with a seasoned group of AI/ML specialists, experimenting with emerging technologies in Generative AI to bridge the gap between world-class research and real-world production.

Matching Summary

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.

Salary

Base: $229,900 - $286,200; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Generative AI models
  • Large Language Models (LLMs)
  • Transformer-based architectures
  • Pytorch, AWS Ultraclusters, Hugging Face
  • VectorDBs, LangChain, Lightning
  • Time-series sequencing
  • Agentic reasoning at scale

Nice-to-have

  • Customer first mindset
  • Innovative technology evaluation
  • Creative problem-solving
  • Challenging conventional thinking
  • Talent development passion
  • Clear communication to non-technical audiences

Key Requirements

  • Bachelor's Degree + 7 years of data analytics
  • Master's Degree + 5 years of data analytics
  • PhD + 2 years of data analytics
  • 2 years experience with open source programming languages
  • 2 years experience with machine learning
  • 2 years experience with relational databases

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter