Data Scientist
$136,000–$184,000 year
On-siteNew York City, New York, United States
Job Summary
Apply causal inference methods where experimentation isn't feasible and develop models to inform pricing, segmentation, and revenue optimization. Design, run, and analyze A/B experiments while partnering with product, engineering, and finance to translate ambiguous business questions into measurement frameworks. Build and maintain dashboards and analytical tooling that support ongoing decision-making for creators on Subscriptions, Bits, and Gifting. This role sits within the Monetization team at Twitch, focusing on high-velocity experimentation and deeper pricing/policy analyses. Candidates work from San Francisco, New York, or Seattle.
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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