Principal Associate, Data Science - Us Card

Capital One

McLean, VA, United States
Base: $147,100 - $201,400 annually by location; bo...
Not specified (assumed hybrid based on current industry trends).
Bachelor's or master's degree in quantitative field
3 to 5 years of data analytics experience
Proficiency in python, scala, or r
Capital One is seeking a Principal Associate in Data Science for their US Card division, where the role focuses on developing machine learning models to enhance credit decision-making. The ideal candidate will possess strong analytical skills and experience with data analytics, machine learning, and programming languages such as Python, Scala, or R

Job Summary

  • The team builds industry-leading machine learning models that empower core underwriting decisions across billions of customer records.
  • You will apply cutting-edge explainability techniques to identify insights from complex models within a highly regulated industry.
  • Capital One offers competitive salaries ranging from $147,100 to $201,400 depending on location, along with performance-based incentives.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Associate in Data Science for their US Card division, where the role focuses on developing machine learning models to enhance credit decision-making. The ideal candidate will possess strong analytical skills and experience with data analytics, machine learning, and programming languages such as Python, Scala, or R.

Salary

Base: $147,100 - $201,400 annually by location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other 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
  • Experience with machine learning model development
  • Statistical modeling and validation skills

Nice-to-have

  • Experience with explainability techniques
  • Knowledge of distributed computing frameworks
  • Background in applied research fields like physics
  • Familiarity with deep learning and time series analysis
  • Ability to define undefined business problems

Key Requirements

  • Quantitative degree (BS/MS/PhD) required
  • Minimum 3-5 years data analytics experience
  • Eligibility for US work authorization or sponsorship

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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