Senior Data Scientist
Data Science | San Jose, United States | ID: 11348
Senior Data Scientist
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.
About the team
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.
About the role
Every time a Roku user browses for something to watch, the quality of what they see — the title, the artwork, the description — shapes whether they click or keep scrolling. That experience depends on metadata provided at scale across hundreds of partners. This role sits at the intersection of that problem and the data science needed to solve it.
As a Senior Data Scientist on the Core Analytics team, you'll work with Content Operations, Engineering, and Product to bring rigor to how we measure, predict, and improve content discovery across the platform. You won't just report on what's broken — you'll build the systems that catch problems before users ever see them, quantify the business cost of quality gaps, and give partners the visibility to self-improve. It's applied data science with a direct line to the viewer experience. This role is a strong fit for someone with strong attention to detail, sharp modeling instincts, and a preference for building proactive systems over chasing reactive alerts.
For California Only - The estimated annual salary for this position is between $179,900 - $190,000 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
- Build models that connect content metadata, artwork, and enrichment quality to downstream user engagement and conversion outcomes
- Evaluate content quality risk before titles go live on platform
- Design statistical frameworks to detect anomalies, schema drift, and quality regressions across partner ingestion pipelines
- Benchmark partner content quality by its impact on platform performance, providing a rigorous basis for remediation prioritization
- Build analytics and reporting that shows partners how their metadata and artwork quality connects to their title performance, closing the feedback loop
- Translate complex analyses into clear narratives, dashboards, and recommendations for Content Ops, Partnerships, and leadership
- Develop and maintain data pipelines that power quality monitoring, validation, and operational reporting
- Collaborate with Engineering and Product to embed data quality signals into platform workflows and partner tooling
- Provide leadership with actionable insights on content metadata integrity trends and partner performance
We're excited if you have
- 5+ 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
- 5+ years of experience in consumer products, digital media, entertainment, or a related industry
- Strong SQL skills and experience with analytical or programming languages such as Python, R, or similar tools
- Experience building predictive models, quality scoring systems, or anomaly detection pipelines in a production environment
- Hands-on experience with statistical process control, data quality monitoring, or operational analytics
- Familiarity with content metadata systems, media supply chains, or partner data ingestion workflows (a plus, not a requirement)
- Hands-on experience with data visualization platforms such as Tableau or Looker
- Ability to communicate technical findings clearly to non-technical stakeholders, including partners and executives
- Ability to approach problems proactively and work effectively in a fast-paced environment
#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 EmployeeRelations@Roku.com.
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 WorkforcePrivacy@Roku.com.
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