Capital One-posted 4 months ago
$133,000 - $151,800/Yr
Full-time • Mid Level
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 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. Team Description Apollo (part of US Card) is Capital One's one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo's data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real-time intelligent ways. Business data is a complex, multi-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting-edge ML/AI to resolve identity and predict valuable features and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities.

  • 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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration.
  • Master's Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics), or PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics).
  • Experience working with AWS.
  • At least 2 years' experience in Python, Scala, or R.
  • At least 2 years' experience with machine learning.
  • At least 2 years' experience with SQL.
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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