Research Data Scientist

Teamwork makes the stream work.
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.

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku.

This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise.

For New York Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

Roku will be accepting applications for this position until November 27, 2025 [or until the position filled].

This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC.

• Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering.
• Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias
• Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies
• Develop necessary data pipelines to power automation, validation, and reporting
• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy
• Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback

• 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)

OR 5+ years of equivalent practical experience with a master’s degree.

• Deep knowledge of statistics, probability, and machine learning techniques
• Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting
• Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis
• Hands-on experience with visualization tools like Tableau or Looker
• Have a bias…