Senior Data Scientist
roku · San Francisco Bay Area
📍 San Jose, Californiavia greenhousePosted 2026-07-28
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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.
What does the team work on?
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, Ptroduct, 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.
What is the role?
Roku is seeking a Senior Data Scientist to join the Core Analytics team with a focus on Ad Quality and Ad Products. In this role, you will partner with business stakeholders, product managers, and engineers to solve complex analytical problems and deliver actionable insights that influence strategic business decisions. You will own end-to-end problem solving, from identifying trends and developing measurement frameworks to designing A/B tests and leveraging causal inference methods. A core part of your work will involve building data pipelines, dashboards, and automated reports to ensure high ad quality and strong ad performance across the Roku platform. You will translate complex technical findings into compelling data stories that provide strategic recommendations to executive leadership and cross-functional partners. The ideal candidate brings strong analytical depth, clear communication skills, and a proactive approach to identifying opportunities that accelerate business growth. [Insert Pay Transparency Verbiage Here]
How will I use AI at Roku?
At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.
We value your AI skills if 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.
What are the responsibilities of the role?
p]:inline" data-streamdown="list-item">Build reporting data pipelines and dashboards to ensure stakeholders can access accurate, timely, and actionable insights
p]:inline" data-streamdown="list-item">Design and execute A/B tests and apply causal inference methods to measure impact and inform product decisions
p]:inline" data-streamdown="list-item">Partner directly with stakeholders to understand key business questions that improve Ad Quality and accelerate the evolution of Ads Products
p]:inline" data-streamdown="list-item">Analyze structured and unstructured data and communicate insights to help stakeholders identify trends and make data-driven decisions
p]:inline" data-streamdown="list-item">Develop analytics tools, models, alerts, and testing frameworks to measure Ad Quality and Ads Product metrics and inform business strategies
p]:inline" data-streamdown="list-item">Deliver presentations that clearly and effectively communicate findings and recommendations to stakeholders and executive audiences
p]:inline" data-streamdown="list-item">Translate complex technical topics into clear business recommendations
p]:inline" data-streamdown="list-item">Provide feedback to leadership and stakeholders across the company on the performance of various initiatives and untapped opportunities
What experience would help someone be successful in this role at Roku?
p]:inline" data-streamdown="list-item">A bachelor's degree and 5+ years of advanced analytics experience, or a master's/Ph.D. with 3+ years of experience
p]:inline" data-streamdown="list-item">Strong SQL skills and experience with business intelligence tools such as Looker
p]:inline" data-streamdown="list-item">Experience with R or Python for data analysis and modeling
p]:inline" data-streamdown="list-item">Deep knowledge of experimental design and causal inference methods, including expertise in A/B testing
p]:inline" data-streamdown="list-item">Experience with forecasting models such as SARIMA, Prophet, TFT, or similar approaches
p]:inline" data-streamdown="list-item">Experience in data management, analytics, data science, and reporting
p]:inline" data-streamdown="list-item">Experience with advertising systems, programmatic advertising, and advertising identity
p]:inline" data-streamdown="list-item">Ability to work independently and manage relationships with stakeholders across multiple teams
p]:inline" data-streamdown="list-item">Strong communication and presentation skills with data visualization and action-oriented narrative for stakeholder and executive audiences
p]:inline" data-streamdown="list-item">A proactive approach to identifying opportunities and proposing solutions
#LI-AN1 What's Roku's approach to hybrid working?
Roku fosters an inclusive and collaborative environment where
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