Data Scientist
$136,000–$184,000 year
On-siteSeattle, Washington, United States
Job Summary
Apply causal inference methods where experimentation isn't feasible and develop models that inform pricing, segmentation, and revenue optimization. Design, run, and analyze A/B experiments while partnering with product, engineering, and finance teams to translate ambiguous business questions into measurement frameworks. Build and maintain dashboards and analytical tooling that support ongoing decision-making across subscriptions, Bits, and gifting products. This role sits within the Monetization team at Twitch, focusing on helping creators make a living on the platform. Candidates must be comfortable writing SQL, working with imperfect data, and applying rigorous statistical thinking to real product decisions at scale.
Required Qualifications
- 3+ years of experience as a data scientist, applied scientist, economist, or related field
- PhD in Economics, Statistics, Computer Science, or related quantitative field
- Proficiency in SQL
- Proficiency with Python or R
- Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods
- Strong communication skills across technical and non-technical stakeholders
- Comfort building dashboards and recurring reporting
- You can work in San Francisco, CA; New York, NY; or Seattle, WA
Desired Qualifications
- 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, SageMaker, or deploying ML models in production
- Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)
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