Senior Associate, Data Scientist - Ai Software Engineering

Capital One

McLean, VA, USA
Mclean, va: $135,600 - $154,800; new york, ny: $14...
Hybrid
Python, conda, aws, h2o, spark
Build machine learning models
Retrieve, combine, and analyze data
Capital One is seeking a Senior Associate Data Scientist specializing in AI Software Engineering to join their innovative team. The role involves leveraging advanced technologies to develop scalable AI solutions that enhance the software development lifecycle, ultimately transforming customer experiences in the financial sector

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.
  • In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Associate Data Scientist specializing in AI Software Engineering to join their innovative team. The role involves leveraging advanced technologies to develop scalable AI solutions that enhance the software development lifecycle, ultimately transforming customer experiences in the financial sector.

Salary

McLean, VA: $135,600 - $154,800; New York, NY: $148,000 - $168,900; San Jose, CA: $148,000 - $168,900; 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
  • Build machine learning models
  • Retrieve, combine, and analyze data
  • LangGraph, MCP, agent-to-agent protocols
  • Advanced model customization techniques

Nice-to-have

  • Research and evaluate emerging technologies
  • Bring definition to big, undefined problems
  • Stay current on published state-of-the-art methods
  • Comfortable with open-source languages

Key Requirements

  • Bachelor's Degree plus 2 years of data analytics experience
  • Master's Degree in quantitative field or MBA
  • Master’s Degree in STEM field or PhD in STEM field
  • Experience working with AWS
  • Experience building production-grade agentic platforms
  • Expertise in advanced model customization techniques

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter