Senior Data Scientist - Voice

Roku
Cambridge
3 weeks ago
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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.


About the Team

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product and Engineering teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.


This role can be based in either Cambridge or Manchester, with an on-site requirement of three days per week at the designated office. This is an essential aspect of the position.


About the Role

Roku is seeking a Senior Data Scientist to join the Core Analytics team supporting voice products. In this role, you will harness data analytics to enhance the user experience, improve voice initiatives, and deliver actionable insights that drive team efficiency and safeguard our users. Collaborating with product management and engineering, you’ll identify opportunities to create impactful features, drive their adoption, and generate measurable value for Roku.


This role offers a dynamic opportunity to investigate, design, and implement solutions to track, monitor, and optimize our ecosystem. The ideal candidate is detail-oriented, highly analytical, and passionate about solving complex challenges.


What You’ll Be Doing:


  • Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance.
  • Analyzing both structured and unstructured data to uncover insights, identify trends, and support stakeholders in solving business challenges and making informed decisions.
  • Building and maintaining data pipelines to enable automation, validation, and reporting processes.
  • Collaborating with stakeholders to align data science initiatives with organizational objectives, including designing and executing A/B tests.
  • Developing analytical tools such as real-time alerts and models to identify success drivers.
  • Conducting exploratory data analysis to understand emerging trends and performing advanced analyses across the Roku platform.
  • Partnering with Program Management and Engineering teams to incorporate feedback and refine solutions.
  • Providing leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities.


We're excited if you have:


  • Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science).
  • A proven track record in consumer products, digital media, or entertainment industries.
  • Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data.
  • Hands-on expertise with visualization tools such as Tableau or Looker.
  • A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments.
  • Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions.


If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments, and want to be part of a team shaping the future of voice products, we’d love to hear from you.


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). Our employees can take time off work for vacation and other personal reasons to balance 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.



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 have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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