Senior Associate, Data Scientist - Credit Line Increase Program

Capital OneMcLean, VA
69d$133,000 - $151,800

About The Position

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: The Upmarket CLIP seeks to provide an optimal credit line to our high-value customers to ensure they receive a line they need and love through different strategies such as Proactive, Reactive and Interactive. The Upmarket CLIP valuations team builds industry-leading machine learning models to empower model- and data-driven business decisions. In this team, data scientists and business analysts work together on the full model lifecycle including development, deployment, monitoring and governance. We partner closely with the business teams as well as data scientist and engineer partner teams. This is a unique opportunity to get exposure to both end-to-end model lifecycle and business decisioning process.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • Translate the complexity of your work into tangible business goals

Benefits

  • 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)

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Credit Intermediation and Related Activities

Education Level

Bachelor's degree

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