Graduate Data Science Intern

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 LinkedInandTwitter, and discover the projects we’re solving on ourBlog. Be sure to explore ourInterviewing Guideto learn how to ace our interview process.

The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data, sophisticated ML models and cornerstone analyses to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in 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 proficiency in applying machine learning and statistical methods to extract 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, from predictive modeling of onsite viewer engagement and commerce activity, to advanced fine-grained cohort analyses of user behavior and their evolution on Twitch. The ideal candidate possesses strong quantitative reasoning skills to design and implement data science workflows, identify key patterns within large datasets, apply appropriate statistical methods, and translate those findings into clear, actionable recommendations.

• 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 stakeholders.

• MS in data science, machine learning, computer science, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience
• Adherence to good coding standards and working knowledge of SoTA machine learning techniques, including forecasting, time-series modeling, natural language processing (NLP) and unsupervised learning. Fluency in data-science tools: Python, R, SQL, and associated AI/ML libraries.
• Maintain proficiency with version control systems to ensure collaborative development and reproducibility
• Excellent written and verbal communication skills on quantitative topics
• Keen judgment for balancing research depth and pacing

• Familiarity with Twitch/streaming
• Familiarity with generative AI (GenAI) tools

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW8992