Senior Data Scientist – Voice

Job Type: Full Time
Job Location: England
Company Name: Roku

Company Overview

With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.
Roku Is Changing How The World Watches TV

Roku is the #1 TV streaming platform in the US 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.

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