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About the Role
As a Senior Research Data Scientist, you will lead the development of a best-in-class causal inference platform to measure and optimize the incremental impact of customer actions, product features, and business interventions on long-term outcomes. You will build methods and systems to make high-confidence decisions from observational data when experiments are not feasible, directly informing growth, retention, and monetization strategy.
Responsibilities
- 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.
- Technology industry experience; connected TV, streaming, or advertising experience is a plus.
Skills
- Causal inference
- Machine learning
- Spark
- Ray
- SQL
- Python
- scikit-learn
- XGBoost
- LightGBM
- Observational causal methods
- Propensity score matching
- Double Machine Learning
- Doubly robust estimation
- Instrumental variables
- Difference-in-differences
- Heterogeneous treatment effects
- AI
- Counterfactual scenarios
Work Type
- Hybrid
Experience Level
- Senior
- 10+ years
Education Level
- PhD in Economics, Econometrics, Statistics, or a closely related quantitative field
Salary/Compensations
- $181,200 - $229,500
Benefits
- 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)
- Accident
- Commuter
- Retirement options (401(k)/pension)
About the Company
- Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power every television in the world.
- Roku pioneered streaming to the TV and connects consumers to content, enables publishers to build audiences, and provides advertisers unique capabilities.
- Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday, with flexible remote work on Fridays.
- Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success.
- Roku has a unique culture of problem-solvers with a pragmatic approach to innovation since 2002.
Equal Opportunity
- Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law.
- If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.