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Experimentation and Causal Inference Intern

Netflix

Los Gatos, CA, USA

Job Type: Intern

Updated: 23 days ago

Intern – Automation Engineer

Gilead Sciences

San Carlos, CA, USA

Job Type: Intern

Updated: 14 days ago

Data Science Intern

Roblox

Burlingame, CA, USA

Job Type: Intern

Updated: 14 days ago

Procurement Intern

Atlassian

Mountain View, CA, USA

Job Type: Intern

Updated: 7 days ago

Public Sector MBA Internship

SandboxAQ

Remote

Job Type: Intern

Updated: 8 days ago

Research Scientist Intern

Company Mission

Netflix's mission is to entertain the world. The company operates a streaming platform for movies & TV shows and has over 222 million subscribers globally.

Company Values

Inclusion

Innovation

Passion

Curiosity

Judgment

Communication

Courage

Selflessness

Integrity

Impact

Benefits

Free lunches

Up to 12 months' maternity and paternity leave

Unlimited vacation days, within reason

Open working hours (at the California office)

Health, vision, and dental insurance

Employee stock purchase plan

Mobile phone discounts

Requirements

Pursuing a graduate degree (Master's or PhD) entering 2nd year or later in Fall 2023, at an accredited university and authorized to work as a summer intern in the USA

Engaged in relevant research into online experimentation, sequential experimentation, adaptive experimentation, observational causal inference, or a related area

Experience programming in R and/or Python

Curious, self-motivated, and excited about solving open-ended challenges at Netflix

Great communication skills, both oral and written

Responsibilities

You will learn about real-life decision-making challenges at Netflix, and help us develop innovative solutions

You will learn broadly about how the Data Science & Engineering organization at Netflix strengthens and helps optimize all aspects of our global entertainment business

You will collaborate with stunning colleagues in the Data Science & Engineering organization and beyond

You will hone your skills manipulating and applying inference methods to truly massive data sets

You will have the opportunity to present your work at key internal forums within Netflix