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Manager, Data Scientist

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Capital One

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Location:
United States , McLean ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

179400.00 - 225100.00 USD / Year
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Job Description:

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 to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models.

Job Responsibility:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
  • Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models to challenge “champion models” that are deployed in production today
  • Contribute to the model governance framework for the next generation of machine learning models
  • Flex your interpersonal skills to present how model risks could impact the business to executives
  • Validate a wide variety of models across multiple business domains within our Enterprise Services division

Requirements:

  • Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 2 years’ experience with machine learning
  • At least 2 years’ experience with relational databases

Nice to have:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years’ experience in Python, Scala, or R for large scale data analysis
  • At least 4 years’ experience with machine learning
  • At least 4 years’ experience with SQL
  • At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection
What we offer:
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information:

Job Posted:
April 05, 2026

Employment Type:
Fulltime
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