Principal Associate, Data Scientist - Ai Software Engineering

Capital One

McLean, VA, USA
Mclean, va: $161,800 - $184,600; new york, ny: $17...
Python, conda, aws, h2o, spark
Langgraph, mcp, agent-to-agent protocols
Advanced model customization techniques
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 AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One.
  • We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle—including code generation, migration, troubleshooting, root-cause analysis, and documentation.

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

McLean, VA: $161,800 - $184,600; New York, NY: $176,500 - $201,400; San Jose, CA: $176,500 - $201,400; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python, Conda, AWS, H2O, Spark
  • LangGraph, MCP, agent-to-agent protocols
  • advanced model customization techniques
  • retrieving and analyzing data from various sources
  • building machine learning models

Nice-to-have

  • innovative and creative problem-solving
  • staying current on emerging technologies
  • interpersonal skills for translating complexity
  • research and publications in AI/ML conferences

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 3 years data analytics
  • Master's Degree in STEM + 3 years data analytics
  • PhD in STEM

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter