About the Team 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 and Engineering teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. This role can be based in either Cambridge or Manchester, with an on-site requirement of three days per week at the designated office. This is an essential aspect of the position. About the Role Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting our international product team. In this role you will harness data to understand how users interact with our platforms across different with regions and work directly with Product Management and Engineering to identify actionable insights that will help to improve the user experience. This role offers a dynamic opportunity to investigate, design, and implement solutions to track, monitor, and optimize our ecosystem. The ideal candidate is detail-oriented, highly analytical, and passionate about solving complex challenges. What You’ll Be Doing Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance. Analyzing both structured and unstructured data to uncover insights, identify trends, and support Product Management and Engineering in solving business challenges and making informed decisions. Building and maintaining data pipelines to enable automation, validation, and reporting processes. Designing and Analyzing A/B tests Conducting exploratory data analysis to understand emerging trends and performing advanced analyses across the Roku platform. Providing leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities. We're excited if you have 3 years in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other query/analysis languages Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments, and want to be part of a team shaping the future of voice products, we’d love to hear from you. LI-ST1