Principal Associate, Data Science, Sbb Fraud

capitalonecareers.ca

McLean, VA, USA
Base: $161,800 - $184,600; bonus/equity: performan...
Python, conda, aws, h2o, spark
Build machine learning models
Retrieve, combine, and analyze 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.
  • In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.

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

  • Python, Conda, AWS, H2O, Spark
  • Build machine learning models
  • Retrieve, combine, and analyze data
  • Interpret confusion matrix or ROC curve
  • Experience with clustering, classification, sentiment analysis, time series, deep learning

Nice-to-have

  • Customer first mindset
  • Passion for developing further
  • Interpersonal skills to translate complexity

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 0 years data analytics
  • 3+ years experience with machine learning
  • 1+ year experience with deep learning/emerging AI
  • 3+ years experience in Python, Dask, Spark
  • 3+ years experience with SQL
  • 1+ year experience working with AWS

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter