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Data Science Intern

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Cadent

Apr 23

Applications are closed

  • Internship
    Full-time
    Starts on Jun 10
    Summer Internship
  • Data
  • Philadelphia

Requirements

  • A senior pursuing a Master’s degree at a college or university majoring in a field closely related to the department they are interning preferably computer science or related field
  • Able to commit to a full-time (35-40 hours per week) work schedule between June 11, 2024 – August 16, 2024.
  • Proficient in Python SQL, and Shell scripting, with some knowledge Docker containerization and Cloud data processing technologies
  • Background in software engineering and knowledge of statistical concepts
  • Excellent verbal and written communicators
  • Self-motivated with a desire to learn from a rapidly growing company
  • Confident to take initiative and collaborate with teammates

Responsibilities

  • The Intern will be responsible for fulfilling tasks set out by supervisors from the specific department they’re working in, including but not limited to:
  • Use Python, SQL, Shell scripting, and Cloud technologies and other department-specific software to complete day-to-day R&D assignments. *Python experience is required*
  • Collaborate effectively with other members of the engineering research team and broader data services group including but not limited to Data Scientists, Data Engineers, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts
  • Conduct research and present findings to the MLE team and business stakeholders
  • Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings.

Marketing & Advertising
Industry
201-500
Employees

Mission & Purpose

Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns