Data Scientist

Join the Monetization team at Twitch, where you'll work on products that help creators make a living on the platform. 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. This role is ideal for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale.

• Appliquer des méthodes d'inférence causale lorsque l'expérimentation n'est pas réalisable.
• Développer des modèles et des analyses qui informent la tarification, la segmentation et l'optimisation des revenus.
• Concevoir, exécuter et analyser des expériences A/B.
• Comfort building dashboards and recurring reporting
• Proficiency with Python or R
• Proficiency in SQL
• 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field
• 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
• 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)