Capital One - McLean, VA

posted 2 months ago

Full-time - Entry Level
McLean, VA
101-250 employees
Credit Intermediation and Related Activities

About the position

As a Senior Associate Data Scientist at Capital One, you will be part of a dynamic team focused on leveraging data to drive customer management decisions. This role involves building and modernizing machine learning models, collaborating with cross-functional teams, and utilizing advanced technologies to extract insights from large datasets. Your work will directly impact the customer experience by enhancing decision-making processes through 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 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 complex data science concepts into tangible business goals for stakeholders.

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining Master's Degree plus 1 year of experience in data analytics.
  • At least 1 year of experience in open source programming languages for large scale data analysis.
  • At least 1 year of experience with machine learning.
  • At least 1 year of experience with relational databases.

Nice-to-haves

  • Master's Degree in a STEM field (Science, Technology, Engineering, or Mathematics), or PhD in a STEM field.
  • 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.

Benefits

  • Comprehensive health benefits
  • Financial benefits including performance-based incentives
  • Inclusive workplace culture
  • Opportunities for professional development
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