Principal Associate, Data Science - Us Card

Capital One

McLean, VA, US
Base: $147,100 - $201,400 annually by location; bo...
Not specified
Bachelor's or master's degree in quantitative field
3 to 5 years of data analytics experience
Proficiency in python, scala, or r programming
Capital One is seeking a Principal Associate in Data Science for its US Card division. The role focuses on developing machine learning models and frameworks for credit decision-making, emphasizing collaboration and innovation in a data-driven environment

Job Summary

  • The role involves developing cutting-edge machine learning models to forecast customer credit outcomes in a rapidly changing economic environment.
  • Candidates will collaborate across cross-functional teams including machine learning engineers, product managers, and credit analysts to deliver solutions from ideation to implementation.
  • Capital One offers competitive salaries ranging from $147,100 to $201,400 depending on location, along with performance-based incentive compensation and comprehensive benefits.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Associate in Data Science for its US Card division. The role focuses on developing machine learning models and frameworks for credit decision-making, emphasizing collaboration and innovation in a data-driven environment.

Salary

Base: $147,100 - $201,400 annually by location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and well-being benefits included

Skills & Requirements

Must-have

  • Bachelor's or Master's degree in quantitative field
  • 3 to 5 years of data analytics experience
  • Proficiency in Python, Scala, or R programming
  • Experience with machine learning model development
  • Statistical modeling and validation expertise

Nice-to-have

  • Experience with explainability techniques
  • Knowledge of distributed computing systems
  • Background in deep learning applications
  • Creative problem-solving skills
  • Research into emerging technologies

Key Requirements

  • Bachelor's degree plus 5 years experience OR Master's/PhD plus 3 years experience
  • Quantitative field background (Statistics, CS, Economics, etc.)
  • Eligibility for employment authorization sponsorship considered

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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