Senior Causal Inference Scientist, Production Platform

Roku; Boston (MA); Hybrid; USD 330,000 - 375,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Disability benefits

Parental leave

Wellness benefits

Paid time off

Job summary

Roku is seeking a Senior Research Data Scientist to lead development of a causal inference platform measuring incremental impact on long-term outcomes. You will partner with the Customer Growth org to productionize scalable causal pipelines and inform growth strategies.

Ideal candidates are applied economists or econometricians comfortable with identification strategies, estimators on large datasets, and cross-functional collaboration to deploy production-ready solutions.

Qualifications

• PhD in Economics, Econometrics, Statistics with focus on causal inference.
• 10+ years applying causal inference and ML to real-world problems with impact.
• Expertise in observational methods like PSM, DML, IV, DiD; strong communication.

Responsibilities

• Design and build a production-ready causal inference platform.
• Research and implement causal estimation methods for Roku data.
• Develop long-term outcome frameworks and projections.
• Create scalable diagnostic/validation standards for credibility.
• Leverage AI to build counterfactuals and interpretable estimates.
• Collaborate with Data Eng, PM, and Core Analytics to deploy solutions.
• Contribute to the technical vision and research agenda on causal inference.

Skills

Causal inference methods

Observational data analysis

Propensity score matching

Double Machine Learning

Doubly robust estimation

Instrumental variables

Difference-in-differences

Distributed computing

Python

SQL

Spark

Ray

XGBoost

LightGBM

scikit-learn

Education

PhD in Economics, Econometrics, Statistics

Tools

Spark

Ray

SQL

Python

scikit-learn

XGBoost

LightGBM

Job description

Roku is seeking a Senior Research Data Scientist to lead development of a causal inference platform measuring incremental impact on long-term outcomes. You will partner with the Customer Growth org to productionize scalable causal pipelines and inform growth strategies.

Ideal candidates are applied economists or econometricians comfortable with identification strategies, estimators on large datasets, and cross-functional collaboration to deploy production-ready solutions.