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.
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?- Build reporting data pipelines and dashboards to ensure stakeholders can access accurate, timely, and actionable insights
- Design and execute A/B tests and apply causal inference methods to measure impact and inform product decisions
- Partner directly with stakeholders to understand key business questions that improve Ad Quality and accelerate the evolution of Ads Products
- Analyze structured and unstructured data and communicate insights to help stakeholders identify trends and make data-driven decisions
- Develop analytics tools, models, alerts, and testing frameworks to measure Ad Quality and Ads Product metrics and inform business strategies
- Deliver presentations that clearly and effectively communicate findings and recommendations to stakeholders and executive audiences
- Translate complex technical topics into clear business recommendations
- Provide feedback to leadership and stakeholders across the company on the performance of various initiatives and untapped opportunities
- A bachelor's degree and 5+ years of advanced analytics experience, or a master's/Ph.D. with 3+ years of experience
- Strong SQL skills and experience with business intelligence tools such as Looker
- Experience with R or Python for data analysis and modeling
- Deep knowledge of experimental design and causal inference methods, including expertise in A/B testing
- Experience with forecasting models such as SARIMA, Prophet, TFT, or similar approaches
- Experience in data management, analytics, data science, and reporting
- Experience with advertising systems, programmatic advertising, and advertising identity
- Ability to work independently and manage relationships with stakeholders across multiple teams
- Strong communication and presentation skills with data visualization and action-oriented narrative for stakeholder and executive audiences
- A proactive approach to identifying opportunities and proposing solutions
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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [email protected].
What should I know about Roku's culture?
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing [email protected].
Skills Required
- Bachelor's degree and 5+ years analytics experience, or Master's/Ph.D. with 3+ years experience
- Strong SQL skills
- Experience with business intelligence tools such as Looker
- Experience with R or Python for data analysis and modeling
- Deep knowledge of experimental design and causal inference methods, including A/B testing
- Experience with forecasting models such as SARIMA, Prophet, or TFT
- Experience with advertising systems, programmatic advertising, and advertising identity
- Ability to build reporting data pipelines, dashboards, and automated reports
- Strong communication, presentation skills, and ability to translate technical findings for executive stakeholders
- Familiarity with AI agent toolchain and agent frameworks (e.g., Claude Code, Cursor, MCP servers, custom skills)
Roku Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roku and has not been reviewed or approved by Roku.
-
Fair & Transparent Compensation — Pay is positioned as competitive across many roles, with frequent emphasis on strong base and total compensation relative to market expectations. Fair-pay perception appears comparatively stronger than overall satisfaction with the broader rewards package.
-
Healthcare Strength — Healthcare coverage is framed as a standout, with sizable employer premium contributions that can reduce employee premiums significantly depending on plan choice. Preventive care and mental-health support are also described as part of the core offering.
-
Leave & Time Off Breadth — Time-off offerings are presented as broad, including paid holidays, PTO, and multiple leave categories such as bereavement and family-related leave. Self-managed or “unlimited” PTO is also described for many salaried roles, supporting flexibility in taking time off.
Roku Insights
What We Do
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.
.png)
