Senior Associate, Data Scientist - Us Card (applied Genai)

EPX

McLean, VA, US
Mclean, va: $135,600 - $154,800; new york, ny: $14...
Hybrid (not explicitly stated but inferred from the nature of the role and location options)
Generative ai
Large language models (llms)
Visual language models (vlms)
This job posting is for a Senior Associate, Data Scientist position at EPX (Capital One) focusing on applying generative AI to improve customer experience in the credit card industry. The role involves leveraging unstructured data and machine learning technologies while collaborating with various teams to implement data-driven solutions

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 Servicing Intelligence team delivers data science solutions to capture value from unstructured, multi-modal data sources — text, image, and audio data, building with open source generative AI models and tooling.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

Match Score: 85

This job posting is for a Senior Associate, Data Scientist position at EPX (Capital One) focusing on applying generative AI to improve customer experience in the credit card industry. The role involves leveraging unstructured data and machine learning technologies while collaborating with various teams to implement data-driven solutions.

Salary

McLean, VA: $135,600 - $154,800; New York, NY: $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

  • Generative AI
  • Large Language Models (LLMs)
  • Visual Language Models (VLMs)
  • unstructured data (text, image)
  • Python, Scala, or R
  • machine learning
  • SQL

Nice-to-have

  • customer first mindset
  • innovative and research-oriented
  • creative problem-solving
  • leadership and talent development
  • statistically-minded
  • data guru

Key Requirements

  • Bachelor's Degree in quantitative field + 2 years data analytics
  • Master's Degree in quantitative field or MBA
  • Master's Degree in STEM field or PhD in STEM field (preferred)
  • 2+ years experience with AWS (preferred)
  • 2+ years experience with AI/ML tools (preferred)

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter