Hybrid Principal Associate, Data Scientist – Recommendation & Personalization Systems

Posted 4 hours ago

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About the role

  • Data Scientist at Capital One leveraging machine learning technologies. Partnering with cross-functional teams to architect personalized recommendation engines and deliver data-driven solutions.

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
  • 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 one of the following: 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
  • 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, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Job title

Principal Associate, Data Scientist – Recommendation & Personalization Systems

Job type

Experience level

JuniorMid level

Salary

$161,800 - $184,600 per year

Degree requirement

Bachelor's Degree

Location requirements

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