Hiring: Senior Research Data Scientist Company: Roku Location: San Jose, CA Job Posted Time: 2026-09-16 16:38:39 Employment Type: Remote Target Skills & Keywords : LightGBM, Machine Learning, Product Management, Python, SQL, Spark, User Experience, XGBoost, scikit-learn About the job Experience: •10+ years of experience applying causal inference and machine learning methods to real-world problems, with a demonstrated track record of measurable impact Required Skills: •Design, build, and productionize a causal inference platform that standardizes how Roku measures the incremental impact of customer actions and business decisions •Research and implement causal estimation methods, including heterogeneous treatment effects, tailored to Roku's data and business questions •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 act on causal estimates correctly •Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate business questions into well-defined causal problems and deploy production-ready solutions •Contribute to the technical vision of the Data Science team and the broader research agenda across causal inference, predictive modeling, and experimentation •10+ years of experience applying causal inference and machine learning methods to real-world problems, with a demonstrated track record of measurable impact Qualifications: •PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference Compensation: •$203,800 - $323,700 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!