At a Glance
- Tasks: Join our Core Analytics team to enhance user experience through data analytics and actionable insights.
- Company: Roku is the leading TV streaming platform, revolutionizing how the world watches TV.
- Benefits: Enjoy comprehensive benefits including mental health support, healthcare options, and flexible time off.
- Why this job: Be part of a fast-paced, collaborative culture that values innovation and problem-solving.
- Qualifications: Must have extensive data science experience and proficiency in SQL, R, or Python.
- Other info: This role requires on-site work three days a week in either Cambridge or Manchester.
The predicted salary is between 43200 - 72000 £ per year.
Get AI-powered advice on this job and more exclusive features.
Teamwork makes the stream work.
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 our international product team. In this role you will harness data to understand how users interact with our platforms across different regions and work directly with Product Management and Engineering to identify actionable insights that will help to improve the user experience.
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 Product Management and Engineering in solving business challenges and making informed decisions.
- Building and maintaining data pipelines to enable automation, validation, and reporting processes.
- Designing and Analyzing A/B tests.
- Conducting exploratory data analysis to understand emerging trends and performing advanced analyses across the Roku platform.
- Providing leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities.
We’re excited if you have
- 3+ years 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 query/analysis languages.
- 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 .
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
- Industries
#J-18808-Ljbffr
Senior Data Scientist employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with Roku's products and services. Understanding how Roku connects consumers to content will help you align your data science skills with their mission, making you a more attractive candidate.
✨Tip Number 2
Highlight your experience in consumer products or digital media during the interview. Discuss specific projects where your data analysis led to actionable insights, as this aligns closely with what Roku is looking for.
✨Tip Number 3
Prepare to discuss your proficiency in SQL, R, or Python by showcasing relevant projects or challenges you've tackled. Being able to demonstrate your technical skills will set you apart from other candidates.
✨Tip Number 4
Emphasize your collaborative approach to problem-solving. Since the role involves working closely with engineering and product teams, showing that you thrive in team environments will resonate well with Roku's culture.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Scientist position. Make sure you understand the key responsibilities and required skills, such as experience with SQL, R, Python, and data visualization tools.
Tailor Your CV: Customize your CV to highlight relevant experience in data science and analytics. Emphasize your proficiency in programming languages and any hands-on expertise with visualization tools like Tableau or Looker.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven insights and problem-solving. Mention specific examples of how you've used data analytics to drive business success in previous roles.
Showcase Collaboration Skills: Since teamwork is emphasized in the job description, include examples in your application that demonstrate your ability to work collaboratively with cross-functional teams, particularly in fast-paced environments.
How to prepare for a job interview at Roku
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analytics to solve complex problems. Highlight your experience with SQL, R, or Python, and be ready to explain your thought process in detail.
✨Demonstrate Collaboration
Since teamwork is crucial at Roku, be prepared to share experiences where you successfully collaborated with cross-functional teams. Emphasize how you aligned data science initiatives with organizational goals.
✨Be Ready for Technical Questions
Expect questions related to A/B testing, statistical modeling, and data visualization tools like Tableau or Looker. Brush up on these topics and be ready to discuss your hands-on expertise.
✨Express Your Passion for Problem-Solving
Roku values independent thinkers who are proactive in their approach. Share your enthusiasm for tackling challenges and provide examples of how you've taken initiative in fast-paced environments.