Data Scientist

About the Role

Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and on the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn’t possible.

The work ranges from high‑velocity experimentation on consumer‑facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.

Additional responsibilities and experiences:

• Apply causal inference methods where experimentation isn’t feasible
• Develop models and analyses that inform pricing, segmentation, and revenue optimization
• Design, run, and analyze A/B experiments
• Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
• Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision‑making

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

• 3+ years of data scientist experience

• Master’s or PhD in Economics, Statistics, or a related quantitative field
• Industry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)
• Hands‑on experience with Airflow, Sage Maker, or deploying ML models in production
• Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Base salary range: $ - $ USD annually.

Location:

San Francisco, CA (base) or New York, NY or Seattle, WA.