At a Glance
- Tasks: Join our Core Analytics team as a Data Scientist to analyze data and support merchandising strategies.
- 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: Make a real impact in a fast-paced environment while collaborating with talented problem-solvers.
- Qualifications: 3+ years of experience in data science or analytics with expertise in SQL, Python, and A/B testing.
- Other info: Be part of a unique culture that values collaboration, innovation, and a sense of humor.
The predicted salary is between 28800 - 48000 £ per year.
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 role
Roku is looking for a Data Scientist to join the Core Analytics team supporting Roku Merchandising. In this role, you will leverage data analytics to support the merchandising team to understand the business impact of placing promotional content in the Roku UI. This individual will be responsible for A/B testing, trend analysis, and dashboards and reporting of how promotional content is surfaced. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
What you’ll be doing
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health.
- 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.
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform.
- Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback.
We’re excited if you have
- 3+ 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).
- 3+ years of experience in 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.
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 .
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.
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Data Scientist employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with Roku's mission and values. Understanding how Roku connects consumers to content and the importance of teamwork will help you align your answers during interviews with their culture.
✨Tip Number 2
Showcase your experience with A/B testing and data visualization tools like Tableau or Looker. Be prepared to discuss specific projects where you've successfully implemented these techniques to drive business decisions.
✨Tip Number 3
Highlight your quantitative skills and problem-solving expertise. Prepare examples that demonstrate how you've used data analytics to solve real-world business problems, especially in consumer products or digital media.
✨Tip Number 4
Network with current or former Roku employees on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information about the company culture and expectations for the Data Scientist role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Roku. Familiarize yourself with key terms like A/B testing, data visualization, and SQL to tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience in data science or a related field. Be specific about your hands-on experience with tools like Python, R, and Tableau, as well as any relevant projects you've completed.
Showcase Problem-Solving Skills: Roku values problem-solvers. Use examples from your past work to demonstrate how you've tackled complex data challenges, developed insights, and contributed to business decisions through data analysis.
Tailor Your Application: Customize your cover letter to reflect Roku's culture and mission. Mention your enthusiasm for working in a fast-paced environment and your ability to collaborate effectively with teams, aligning with their focus on teamwork and innovation.
How to prepare for a job interview at Roku
✨Show Your Analytical Skills
Be prepared to discuss your experience with data analysis, A/B testing, and statistical modeling. Highlight specific projects where you used SQL, Python, or R to derive insights and make data-driven decisions.
✨Demonstrate Collaboration
Roku values teamwork, so be ready to share examples of how you've collaborated with cross-functional teams. Discuss how you aligned data science initiatives with organizational goals and how you incorporated feedback from stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to data visualization tools like Tableau or Looker. Brush up on your knowledge of these tools and be ready to explain how you've used them to create impactful dashboards and reports.
✨Emphasize Problem-Solving Abilities
Roku seeks candidates who are independent thinkers and problem solvers. Prepare to discuss challenges you've faced in previous roles and how you approached solving them, showcasing your ability to think critically and act decisively.