Sr. Research Data Scientist

Posted

RokuBoston, Massachusetts; New York, New York; San Jose, CaliforniaHybridfull_timesenior

$330,000 – $375,000 USD

Tech Stack

Responsibilities

  • Design, build, and productionize a causal inference platform to measure 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.
  • Work cross-functionally with Data Engineering, Product Management, and Core Analytics to deploy production-ready solutions.

Soft Skills

Causal InferencePropensity Score MatchingDouble Machine LearningDoubly Robust EstimationInstrumental VariablesDifference-In-DifferencesWritten CommunicationCross-Functional CollaborationTv StreamingAdvertising

Benefits

  • 401k
  • Dental
  • Disability Insurance
  • Equity
  • Gym/Wellness
  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Parental Leave
  • Vision

Culture

Hybrid WorkFast-PacedCross-Functional TeamsCollaborationTeamwork

Requirements

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

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About Roku
Industry: adtech
Size: enterprise

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power every television in the world, connecting consumers to content, enabling publishers to monetize, and providing advertisers unique engagement capabilities.

View company profile →
Compensation
Base salary: $330,000 – $375,000 USD
Equity: equity awards