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

Capitalonecareers Com Ph

Base: $135,600 - $168,900 depending on location; b...
Not specified
Generative ai model development
Unstructured data processing
Open source ai tools and frameworks
Capital One is seeking a Senior Associate Data Scientist for its US Card division, focusing on applied generative AI to enhance customer experiences. The role involves leveraging unstructured data and machine learning technologies to create data-driven solutions while collaborating with various teams

Job Summary

  • As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption using the latest computing and machine learning technologies.
  • You will apply generative AI on millions of inputs to create best-in-class products and experiences powered by emerging AI technologies.
  • 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

Capital One is seeking a Senior Associate Data Scientist for its US Card division, focusing on applied generative AI to enhance customer experiences. The role involves leveraging unstructured data and machine learning technologies to create data-driven solutions while collaborating with various teams.

Salary

Base: $135,600 - $168,900 depending on location; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • Generative AI model development
  • Unstructured data processing
  • Open source AI tools and frameworks
  • Machine learning model lifecycle management
  • Cloud computing with AWS
  • NLP and computer vision expertise

Nice-to-have

  • Innovative and creative problem solving
  • Customer-first mindset
  • Leadership and talent development
  • Statistical modeling and analysis
  • Collaboration with cross-functional teams

Key Requirements

  • Bachelor’s or Master’s degree in quantitative field
  • At least 2 years experience in Python, Scala, or R
  • At least 2 years experience with machine learning
  • At least 2 years experience with SQL
  • Experience with AI/ML tools like LangGraph and Hugging Face
  • Work authorization sponsorship available

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter