Sr. Research Data Scientist Job at Roku (Boston)

Job Description

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

Job Responsibility

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

Requirements

PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference
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
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

Nice to have

Technology industry experience
connected TV, streaming, or advertising experience is a plus

What we offer

Health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)

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Sr. Research Data Scientist

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