Principal Associate, Data Science, Sbb Fraud

Capital One

McLean, VA, USA
Base: $161,800 - $184,600; bonus/equity: performan...
Build machine learning models
Python, conda, aws, h2o, spark
Analyze large volumes of data
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records

Job Summary

  • As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
  • The Small Business Bank (SBB) Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters by catching millions of dollars in transactions, account opening, account takeover fraud.
  • You will work with cross functional teams including analysts, software engineers and product managers to build, deploy and manage fraud models that make intelligent decisions.

Matching Summary

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.

Salary

Base: $161,800 - $184,600; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Build machine learning models
  • Python, Conda, AWS, H2O, Spark
  • Analyze large volumes of data
  • Statistical modeling and validation
  • Cross-functional team collaboration

Nice-to-have

  • Customer-centric decision making
  • Interpersonal skills for communication
  • Passion for developing further

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 3 years data analytics
  • 3 years experience with machine learning
  • 1 year experience with deep learning
  • 3 years experience with Python, Dask, Spark
  • 3 years experience with SQL
  • 1 year experience with AWS

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter