This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility
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
Requirements
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
Ability to approach problems proactively and work effectively in a fast-paced environment
What we offer
Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)