Capital One-posted 4 months ago
$308,700 - $384,200/Yr
Full-time • Senior
McLean, VA
Credit Intermediation and Related Activities

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Science Leader 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.

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 11 years of experience performing data analytics, or a Master's Degree plus 9 years, or a PhD plus 6 years.
  • At least 6 years of experience leveraging open source programming languages for large scale data analysis.
  • At least 6 years of experience working with machine learning.
  • At least 6 years of experience utilizing relational databases.
  • PhD in STEM field plus 6 years of experience in data analytics.
  • At least 1 year of experience working with AWS.
  • At least 5 years of experience managing people.
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis.
  • Comprehensive health benefits.
  • Financial benefits including performance-based incentives.
  • Inclusive set of benefits that support total well-being.
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