Principal Associate, Data Scientist - Model Risk Office

Capital One

McLean, VA, US
Mclean, va: $161,800 - $184,600; new york, ny: $17...
Python, conda, aws, h2o, spark
Machine learning model development
Numeric and textual data analysis
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.
  • In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models.
  • 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

McLean, VA: $161,800 - $184,600; New York, NY: $176,500 - $201,400; Wilmington, DE: $147,100 - $167,900; 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
  • Machine learning model development
  • Numeric and textual data analysis
  • Model validation and backtesting
  • Statistical modeling

Nice-to-have

  • Innovative and creative problem-solving
  • Researching emerging technologies
  • Interpersonal skills for communication
  • Defining undefined problems

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 0 years data analytics
  • Experience with Python, Scala, or R
  • Experience with PySpark/Polars
  • Experience with Machine Learning deployment
  • Experience with SQL
  • Experience with AWS or cloud platform

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter