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

capitalonecareers.ca

McLean, VA, USA
Mclean, va: $135,600 - $154,800; new york, ny: $14...
Hybrid
Unstructured data (text, image)
Open source large language models
Visual language models
Capital One is seeking a Senior Associate Data Scientist for their US Card team, focusing on applied generative AI to harness unstructured data. The role involves collaborating with various teams to develop machine learning and NLP models that enhance customer experiences and operational efficiency

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.
  • You will sit on a team of data scientists that collaborates daily with product, tech, and business teams to embed AI in varied domains, including frontline agent servicing, back office document processing, AI for regulatory compliance, and overall customer experience.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Associate Data Scientist for their US Card team, focusing on applied generative AI to harness unstructured data. The role involves collaborating with various teams to develop machine learning and NLP models that enhance customer experiences and operational efficiency.

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

  • unstructured data (text, image)
  • open source large language models
  • visual language models
  • machine learning and NLP models
  • AI observability
  • autonomous decisions traceability

Nice-to-have

  • customer first mindset
  • innovative and research-oriented
  • creative problem-solving
  • leadership and challenging thinking
  • statistically-minded analysis
  • data guru with big data skills

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
  • PhD in STEM field
  • 2 years' experience with AWS
  • 2 years' experience in Python, Scala, or R
  • 2 years' experience with machine learning
  • 2 years' experience with SQL
  • 2 years' experience AI/ML tools and ecosystems

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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