Capital Oneposted 4 days ago
$144,200 - $164,600/Yr
- Mid Level
Plano, TX
Credit Intermediation and Related Activities

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.

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, GitHub, Sagemaker, SQL, AWS 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

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field

Nice-to-haves

  • Master's Degree in 'STEM' field plus 3 years of experience in data analytics, or PhD in 'STEM' field
  • At least 1 year of experience working with AWS
  • At least 3 years' experience in Python, Scala, or R
  • At least 3 years' experience with machine learning
  • At least 3 years' experience with SQL

Benefits

  • Comprehensive health benefits
  • Financial benefits including performance-based incentive compensation
  • Inclusive set of benefits that support total well-being
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