At a Glance
- Tasks: Analyse data to enhance viewer experiences and drive product development.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy comprehensive benefits, including mental health support and flexible work options.
- Why this job: Make a real impact on millions of viewers while developing your data science skills.
- Qualifications: 4+ years in data science with expertise in SQL, Python, and product analytics.
- Other info: Collaborative culture focused on innovation and problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we have set our sights on powering every television in the world. 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.
About the role
Roku is looking for a Sr. Data Scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will 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 ecosystem.
The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
Responsibilities
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
- Advise on key product development strategy decisions to drive our Live product experience.
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health.
- 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 A/B tests.
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform.
- Providing feedback directly to leadership on performance of various initiatives and untapped opportunities.
Qualifications
- 4+ 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).
- 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred.
- Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis.
- Demonstrated ability to influence quantitatively meaningful business outcomes.
- 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.
This role can be based in either Cambridge or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five-day in-office policy.
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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
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.
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
Network like a pro! Reach out to current or former Roku employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at the company. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Roku's products and services. Understand how data science plays a role in enhancing viewer experiences. This will show your passion and help you stand out during discussions.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle real-world data challenges during interviews. Brush up on your SQL, Python, and A/B testing knowledge to demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Roku team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with data analytics, product development, and any relevant tools like SQL or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Roku and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that showcase your problem-solving skills.
Showcase Your Analytical Skills: In your application, be sure to include examples of how you've used data to drive decisions or improve products. We love candidates who can demonstrate their quantitative prowess and how it has led to meaningful business outcomes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our culture there!
How to prepare for a job interview at Roku
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, and any other tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially in product analytics. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your analytical thinking and how your insights led to meaningful business outcomes. This is crucial for a role that focuses on improving viewer experiences.
✨Understand A/B Testing
Brush up on your A/B testing knowledge and be prepared to discuss your experience with it. Share specific examples of tests you've conducted, what you learned, and how those insights influenced product decisions. This will demonstrate your hands-on experience and strategic thinking.
✨Align with Roku's Culture
Familiarise yourself with Roku's mission and values. During the interview, express how your work ethic and collaborative spirit align with their culture of problem-solving and innovation. Showing that you fit into their team dynamic can set you apart from other candidates.