Sr. 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.

When you join our Core Analytics Team, you become part of a centralized hub of analytics excellence. This team provides the unique opportunity to work alongside a world‑class peer group, leveraging centrally maintained tools and resources to drive impactful results. We emphasize continuous learning and development, ensuring team members are always growing their skills and expertise. Collaborating closely with Engineering, Product, and Business teams, we deliver data‑driven insights and innovative capabilities that guide our stakeholders, shape our strategies, and enhance the experiences of Roku’s users globally.

Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting UI Originals initiatives. In this role, you will support the UI Originals team by applying data science and analytics to shape content experiences that are uniquely Roku. You will partner closely with Product Management and Engineering to understand user behavior, measure the impact of new experiences, and generate insights that inform product and business decisions.

This role will also help identify opportunities to improve performance, strengthen reporting, and build a deeper understanding of the broader Roku ecosystem. It is well suited for someone who brings strong analytical judgment, clear communication, and a collaborative approach to solving complex problems.

For California Only - The estimated annual salary for this position is between $179,900 - $190,000 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.

• Collaborate with stakeholders to align data science initiatives with organizational goals and product strategy
• Design, execute, and interpret A/B tests to evaluate product changes and inform decision‑making
• Translate complex analyses into clear narratives, dashboards, and recommendations for leadership and partner teams
• Develop and maintain dashboards, reports, and data visualizations to monitor key business, operational, and system health metrics
• Analyze structured and unstructured data to uncover insights, identify trends, and support data‑informed decisions
• Develop data pipelines that power automation, validation, and reporting
• Perform exploratory data analysis on emerging trends across the Roku platform
• Collaborate with Program Management and Engineering partners to gather feedback and continuously improve solutions
• Provide leadership with actionable insights on initiative performance and future opportunities

• 5+ years of professional experience with a bachelor's or master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science
• 5+ years of experience in consumer products, digital media, entertainment, or related industries
• Strong SQL skills and experience with analytical or programming languages such as Python, R, SAS, or similar tools
• Hands‑on experience with data visualization platforms such as Tableau or Looker
• Hands‑on experience with A/B testing, statistical modeling, or forecasting
• Abili…