Senior Research Data Scientist

📋 Description

• Design, build, and productionize a causal inference platform that standardizes how Roku measures
• Research and implement causal estimation methods, including heterogeneous treatment effects
• Build long-term outcome frameworks that enable impact projection from limited observation windows
• Develop diagnostic and validation standards at scale to ensure credibility of causal estimates
• Leverage AI to create counterfactual scenarios and build tools that help users run, understand, and
• Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate

🎯 Requirements

• PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong
• 10+ years of experience applying causal inference and machine learning methods to real-world
• Deep expertise in observational causal methods such as propensity score matching, Double Machine
• 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
• Experience with terabyte- or petabyte-scale datasets in distributed computing environments

🎁 Benefits

• health insurance
• equity awards
• life insurance
• disability benefits
• parental leave
• wellness benefits