Data Scientist

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.

We are looking for an experienced Data Scientist to support our central analytics and finance disciplines at Twitch. Bringing to bear a mixture of data analysis, dashboarding, and SQL query skills, you will use data-driven methods to answer business questions, and deliver insights that deepen understanding of our viewer behavior and monetization performance. Reporting to the VP of Finance, Analytics, and Business Operations, your team will be located in San Francisco.

Our team is based in San Francisco, CA.

• Create actionable insights from data related to Twitch viewers, creators, advertising revenue, commerce revenue, and content deals.
• Develop dashboards and visualizations to communicate points of view that inform business decision-making.
• Create and maintain complex queries and data pipelines for ad-hoc analyses.
• Author narratives and documentation that support conclusions.
• Collaborate effectively with business partners, product managers, and data team members to align data science efforts with strategic goals.

• 3+ years of data science experience with a Bachelor's degree in a quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science).
• Expertise in using SQL for data analysis, reporting, and dashboarding.
• Expertise with visualization tools like Tableau or Quicksight.
• Experience with a scripting language such as Python or R.
• Comfort with data warehouses and big data technologies at consumer scale such as Redshift, Snowflake, Big Query, etc.

• Master’s or Doctorate degree in a quantitative field (e.g. Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science)
• Experience in gaming or digital media