Data Scientist – Recommendation

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

Company Overview

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 centralised function to provide data-driven insights into business and products. We collaborate closely with our Product and Engineering teams to deliver the best recommendation experiences to our customers and maximise the value proposition for the business.

About The Role

Roku is seeking a Data Analyst/Scientist to join the Core Analytics team supporting our Recommendations product. This individual will be responsible for understanding how users leverage our Recommendations product to manage their Roku experience and work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor, and improve our recommendations ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated problem-solving expertise.

This role can be based in Manchester, or Cambridge and requires you to be in the office thrice a week.

What You’ll Be Doing

  • Define and monitor KPIs that guide the growth of Roku’s Recommendations product.
  • Analyse structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
  • Develop necessary data pipelines to power automation, validation and reporting
  • Collaborate with stakeholders to align data science initiatives with organisational goals and strategy design and execute AB tests
  • Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our recommendations platform
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the entire recommendations and Roku Platform
  • Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
  • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities

We’re excited if you have

  • Extensive work experience with a bachelor’s degree or master’s degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
  • Experience across Recommendations, Search, consumer product, digital media or entertainment industries
  • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
  • Hands on experience with visualization tools like Tableau or Looker
  • Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
  • Hands on experience in A/B testing and statistical modeling/forecasting

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