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.
As a Senior Data Scientist at Roku, you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.
About the role
Roku is looking for a Senior Data scientist to join the Core Analytics team supporting the Roku TV team. As a Senior Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data. Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen.
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
This role is hybrid and located in San Jose, CA. Employees are expected to report to the office Monday - Thursday.
For California Only - The estimated annual salary for this position is between $179,900 - $212,300 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.
What you’ll be doing
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for device hardware and software health.
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
- Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau, and other visualization platforms.
- Develop necessary data pipelines to power automation, validation and reporting.
- Use creativity to find proxies where verbatim data or measurement is unavailable.
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy.
- Design and execute A/B tests to enhance the streaming experience for customers.
- Stay updated with the latest trends and technologies in data science, including the use of artificial intelligence, to drive innovation.
We’re excited if you have
- 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in product analytics is preferred.
- Excellent command of SQL and experience working with Big Data.
- Experience coding in Python or R.
- Hands-on experience with data visualization platform like Tableau, Looker, or similar.
- Statistics knowledge like A/B experimentation and statistical inference.
- Innate drive towards action in resolving issues and operate in a high-energy, fast-paced environment.
- Self-driven, highly motivated, and independent-minded individual who has a natural curiosity for understanding the data and the business.
- Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.
- Excellent investigative skills with a passion for finding the root cause of an issue.
- The ability to work independently and across multiple time zones.
- Ownership mindset. You own the end-to-end lifecycle of a product, starting from ideation and ending with post-launch performance tracking
- Academic background in mathematics, statistics, physics, data science, computer science, or economics.
#LI-AN1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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].
The Roku 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
- 5+ years of relevant experience in data analytics, data science or business intelligence role
- Excellent command of SQL and experience working with Big Data
- Experience coding in Python or R
- Hands-on experience with data visualization platform like Tableau, Looker, or similar
- Statistics knowledge like A/B experimentation and statistical inference
- Academic background in mathematics, statistics, physics, data science, computer science, or economics.
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.
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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.
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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.
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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.
