Principal Associate, Data Scientist, Sbb Fraud

Capital One

McLean, VA, US
Base: $161,800 - $184,600 (mclean, va); bonus/equi...
Not specified
Python, conda, aws, h2o, spark technologies
Machine learning model development lifecycle
Statistical modeling and validation expertise
Capital One is seeking a Principal Associate, Data Scientist for their SBB Fraud Data Science team, focusing on developing machine learning models to combat fraud in small businesses. The ideal candidate will have a strong background in data science, statistical modeling, and experience with relevant technologies

Job Summary

  • The role involves building machine learning models to protect customers and Capital One against millions of dollars in fraud across account opening and account takeover scenarios.
  • Candidates will leverage a broad stack of technologies including Python, AWS, and Spark to analyze huge volumes of numeric and textual data.
  • This position offers eligibility for performance-based incentive compensation including cash bonuses and long-term incentives alongside comprehensive health and financial benefits.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Associate, Data Scientist for their SBB Fraud Data Science team, focusing on developing machine learning models to combat fraud in small businesses. The ideal candidate will have a strong background in data science, statistical modeling, and experience with relevant technologies.

Salary

Base: $161,800 - $184,600 (McLean, VA); Bonus/Equity: Performance based incentive compensation eligible; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Python, Conda, AWS, H2O, Spark technologies
  • Machine learning model development lifecycle
  • Statistical modeling and validation expertise
  • Big data retrieval and analysis skills

Nice-to-have

  • Deep learning and emerging AI experience
  • Cross-functional team collaboration skills
  • Passion for customer-first decision making
  • Experience with clustering and time series

Key Requirements

  • Bachelor's degree plus 5 years experience OR Master's/PhD plus 3 years experience
  • Quantitative field degree (Statistics, CS, Math, etc.)
  • At least 3 years experience with machine learning
  • At least 1 year experience with deep learning or emerging AI
  • At least 3 years experience with Python, Dask, or Spark
  • At least 3 years experience with SQL
  • At least 1 year experience working with AWS

Work Rights

Not specified

Sponsorship: available

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