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Senior Research Data Scientist
Roku · San Jose, United States
About The Role
Join Roku's Data Science team as a Senior Research Data Scientist, where you will lead the development of a causal inference platform that measures and optimizes the impact of customer actions and business interventions on long-term outcomes. You will work cross-functionally with various teams, contribute to the technical vision of the Data Science team, and have a direct impact on growth, retention, and monetization strategy across the platform.
- Concevoir, construire et mettre en production une plateforme d'inférence causale qui standardise la manière dont Roku mesure l'impact incrémental des actions des clients et des décisions commerciales.
- Rechercher et mettre en œuvre des méthodes d'estimation causale, y compris les effets de traitement hétérogènes, adaptées aux données et aux questions commerciales de Roku.
- Travailler en collaboration avec l'ingénierie des données, la gestion de produit et l'analyse de base pour traduire les questions commerciales en problèmes causaux bien définis et déployer des solutions prêtes pour la production.
- Deep expertise in observational causal methods such as propensity score matching, Double Machine Learning, doubly robust estimation, instrumental variables, and difference-in-differences
- 10+ years of experience applying causal inference and machine learning methods to real-world problems, with a demonstrated track record of measurable impact
- Strong communication skills with the ability to translate econometric findings into clear business recommendations
- Technology industry experience; connected TV, streaming, or advertising experience is a plus
- Experience with terabyte- or petabyte-scale datasets in distributed computing environments
- Experience building reusable causal inference tools or platforms beyond one-off analyses
- Proficiency with Spark, Ray, SQL, Python, and ML frameworks such as scikit-learn, XGBoost, and LightGBM
- PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference
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