Experimentation & Causal Inference Intern, Summer 2026

About the role#

This internship focuses on experimentation and causal inference research to support Netflix's business strategy. You will work within the Data Science & Engineering organization to develop analytical products and innovative solutions for complex decision-making challenges across commerce, content, studio, and product development.

What you'll do#

• Develop innovative solutions to real-life decision-making challenges at Netflix.
• Collaborate with colleagues in the Data Science & Engineering organization and beyond.
• Manipulate and apply statistical methods to massive data sets.
• Present your work at key internal forums within Netflix.

What you'll need#

• Currently pursuing a PhD degree at an accredited university, with a graduation date of December 2026, Summer 2027, or later. You must be returning to school for at least one semester or quarter following the internship.
• Active research in online experimentation (such as sequential or adaptive methods), observational causal inference, or a related field.
• Proficiency in R and/or Python.
• Experience with SQL and version control systems like git.
• Strong oral and written communication skills.
• A record of past publications in relevant journals or conferences.

Location & details#

• Location: Los Gatos, California.
• Term: Summer 2026.
• Modality: On-site.
• Duration: Minimum of 12 weeks.
• Compensation: This is a paid, full-time internship.