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Experimentation & Causal Inference Intern, Summer 2026

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About the role

This internship focuses on applying statistical methods and research to support decision-making across the business. Interns work within the Data Science and Engineering organization to address challenges in areas such as product development, content evaluation, and studio operations. The program is designed to provide a professional experience that mirrors the responsibilities of a full-time team member.

What you'll do

  • Develop innovative solutions to real-life decision-making challenges.
  • Collaborate with colleagues across the Data Science and Engineering organization.
  • Apply statistical methods to large-scale data sets.
  • Present research and project findings at internal forums.

What you'll need

  • Current enrollment in a PhD program at an accredited university, with a graduation date of December 2026, Summer 2027, or later.
  • Active research in online experimentation (such as sequential or adaptive methods), observational causal inference, or related fields.
  • Proficiency in R or Python.
  • Experience with SQL and version control systems like git.
  • Strong oral and written communication skills.
  • A history of academic publications in relevant conferences or journals.

Location & details

  • Location: Los Gatos, California.
  • Term: Summer 2026.
  • Modality: On-site.
  • Status: Paid, full-time internship.
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