Senior Data Scientist

Join Roku's Core Analytics team as a Senior Data Scientist. In this role, you will leverage data analytics to support and improve the Home screen and discovery products, influencing the look and feel of the Roku platform. You will analyze structured and unstructured data, develop dashboards and data pipelines, and collaborate with stakeholders to align data science initiatives with organizational goals. The ideal candidate has 4+ years of experience in product analytics, proficiency in SQL and programming languages, and experience using AI and Large Language Models.

• Analyser les données structurées et non structurées pour fournir des informations exploitables et aider les parties prenantes à résoudre des problèmes commerciaux.
• Collaborer avec les équipes produit et d'ingénierie pour identifier les opportunités de création de nouvelles fonctionnalités et de génération de valeur pour Roku.
• Développer et maintenir des tableaux de bord, des rapports et des visualisations de données pour surveiller les indicateurs clés de performance.
• The successful candidate brings a quantitatively driven mindset, strong attention to detail, and an elevated level of problem-solving expertise
• We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact
• We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
• And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you
• 4+ years of experience in product analytics, with preference for experience supporting platforms in the media and entertainment space
• Experience with A/B testing, statistical modeling, or forecasting
• Demonstrated ability to influence quantitatively meaningful business outcomes
• Demonstrated ability to take initiative in resolving issues and thrive in a dynamic environment
• Proficiency in SQL, SAS, R, Python, or other programming languages for querying data and performing analysis
• 4+ 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
• Experience using AI and Large Language Models to enhance productivity and analytical workflows
• Hands-on experience with visualization tools such as Tableau or Looker