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, 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.
What is the role?Roku is seeking a Senior Data Scientist to join the Core Analytics team and support the user setup and onboarding product area. In this role, you will leverage data analytics to improve onboarding experiences, identify trends and risks, and guide strategic product and business decisions through pattern analysis. You will partner with product management and engineering teams to identify new features, drive adoption, and develop solutions that track, monitor, and improve the onboarding ecosystem via dashboards, data pipelines, and statistical models. This position offers the opportunity to solve complex analytical problems that directly impact millions of users across the Roku platform. The ideal candidate brings a strong analytical foundation combined with a passion for translating data into clear, actionable insights that shape the user experience at scale.
For New York Only - The estimated annual salary for this position is between $127,500 - $170,400 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.
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'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 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">Develop and maintain dashboards, reports, and data visualizations for operational and systems health metrics
- p]:inline" data-streamdown="list-item">Analyze structured and unstructured data to communicate insights that help stakeholders solve problems and identify trends
- p]:inline" data-streamdown="list-item">Develop data pipelines to power automation, validation, and reporting
- p]:inline" data-streamdown="list-item">Align data science initiatives with organizational goals and collaborate with Program Management and Engineering for feedback
- p]:inline" data-streamdown="list-item">Design and execute A/B tests to evaluate product changes and measure impact
- p]:inline" data-streamdown="list-item">Create analytical tools such as real-time alerts and models to understand onboarding platform success
- p]:inline" data-streamdown="list-item">Perform exploratory data analysis on emerging trends across the Roku platform
- p]:inline" data-streamdown="list-item">Provide data-driven recommendations directly to leadership regarding initiative performance and untapped opportunities
What experience would help someone be successful in this role at Roku?- p]:inline" data-streamdown="list-item">Bachelor's or Master's degree in a quantitative field such as Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science
- p]:inline" data-streamdown="list-item">5+ years of professional experience in data science, analytics, or a related field
- p]:inline" data-streamdown="list-item">5+ years of experience supporting user onboarding, consumer products, digital media, or entertainment domains
- p]:inline" data-streamdown="list-item">Proficiency in SQL, R, Python, or other programming languages for querying and analysis
- p]:inline" data-streamdown="list-item">Hands-on experience with visualization tools such as Tableau or Looker
- p]:inline" data-streamdown="list-item">Experience with A/B testing, statistical modeling, or forecasting
- p]:inline" data-streamdown="list-item">Experience using AI and Large Language Models to enhance productivity and analytical workflows
- p]:inline" data-streamdown="list-item">Demonstrated ability to thrive in a dynamic environment and take initiative in resolving issues
#LI-AN1What's Roku's approach to hybrid working?Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the benefits?Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
