Roku

Senior Research Data Scientist

San Jose, California · Senior

Sponsorship not specified$330k-$375kDetected 11 hours ago

PythonSQLMachine Learningscikit-learnSparkData EngineeringData ScienceStatisticsA/B TestingResearchCommunicationCollaboration

About the role

Your work will directly inform growth, retention, and monetization strategy across the platform, making this role ideal for an applied economist or econometrician who excels at the intersection of rigorous research and production engineering.
For California, New York, and Massachusetts only - The estimated annual base salary for this position is between $330,000- $375,000 annually.
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

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
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
Experience with terabyte- or petabyte-scale datasets in distributed computing environments
Strong communication skills with the ability to translate econometric findings into clear business recommendations
We're excited if you have

For California, New York, and Massachusetts only - The estimated annual base salary for this position is between $330,000- $375,000 annually.

This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
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
Deep expertise in observational causal methods such as propensity score matching, Double Machine Learning, doubly robust estimation, instrumental variables, and difference-in-differences

Our Data Science team is a high-impact research team actively shaping the future of TV, using Big Data to build and enhance the user experience on the Roku streaming platform.
Our production-ready machine learning models and statistical solutions optimize the user experience across all of Roku's core business models and products, and our scientists engage closely with business, product, and engineering leaders to make material and measurable impacts on the success and growth of the platform.

This listing is sourced directly from Roku's careers page and normalized into a canonical job model.