Senior Data Scientist - Mobile

Roku
Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Data Scientist - Machine Learning, AI

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US, 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 to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best Mobile experiences to our customer and maximize the value proposition for the business.

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting Mobile product. This individual will be responsible for understanding how users leverage our Mobile apps 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 mobile ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

This role can be based in either Manchester, or Cambridge and requires you to be in the office 3 days a week.

What you'll be doing

Define and monitor KPIs that guide the growth of Roku’s mobile apps. Analyze 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 organizational goals and strategy design and execute AB tests Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the entire mobile and Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to mobile leadership on performance of various initiatives and untapped opportunities

We're excited if you have

5+ years of 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) 5+ years of experience across mobile, 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

#LI-PA1

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. 

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.