If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/
About Us:
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Position
The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data and sophisticated models to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in analytics, data science, machine learning, and user research to continuously innovate and improve the world's leading live-streaming platform.
Our team is seeking an exceptional intern with demonstrated experience extracting valuable insights from complex data. We value creative problem-solvers who possess a strong analytical foundation and the communication skills necessary to thrive in a collaborative environment. Our problems cover many different aspects of user behavior on Twitch, including onsite viewer engagement and commerce activity. The ideal candidate is a highly analytical thinker who can identify key patterns within large datasets and translate those findings into clear, actionable recommendations.
You Will:
- Drive Twitch’s understanding of users and their activity through ownership of research projects from data collection to model development, estimation, and validation
- Identify and pursue projects with significant business impact, and make compelling cases for prioritization and resource allocation
- Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale
-Deliver well-documented datasets, tools, and reports to key technical and business stakeholde
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
