Principal Associate, Data Science - Us Card

Capital One

McLean, VA, US
Base: $147,100 - $201,400 depending on location; b...
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Bachelor's or master's degree in quantitative field
5 years experience in data analytics
Experience with python, scala, or r
** Capital One is seeking a Principal Associate in Data Science for its US Card division, focusing on developing machine learning models to enhance credit decision-making. The ideal candidate will have a strong background in data analytics and a quantitative field, with experience in machine learning and statistical modeling. **

Job Summary

  • The role involves developing cutting-edge predictive models to forecast customer card usage within a highly regulated industry.
  • Candidates will collaborate across cross-functional teams including machine learning engineers, product managers, and credit analysts to deliver solutions from ideation to implementation.
  • This position offers performance-based incentive compensation including cash bonuses and long-term incentives alongside comprehensive health and financial benefits.

Matching Summary

Match Score: 75

** Capital One is seeking a Principal Associate in Data Science for its US Card division, focusing on developing machine learning models to enhance credit decision-making. The ideal candidate will have a strong background in data analytics and a quantitative field, with experience in machine learning and statistical modeling. **

Salary

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

Skills & Requirements

Must-have

  • Bachelor's or Master's degree in quantitative field
  • 5 years experience in data analytics
  • Experience with Python, Scala, or R
  • Machine learning model development and validation
  • Statistical modeling and time series analysis

Nice-to-have

  • Experience with distributed computing systems
  • Background in applied research fields like physics
  • Knowledge of deep learning architectures
  • Ability to define undefined business problems
  • Creative approach to data-driven decision making

Key Requirements

  • Bachelor's degree plus 5 years experience OR Master's/PhD plus 3 years experience
  • Minimum 3 years experience with Python, Scala, or R
  • Minimum 3 years experience with machine learning
  • Quantitative field degree (Statistics, Economics, CS, etc.)
  • Eligibility for employment authorization sponsorship

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter