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For Companies At a Glance
- Tasks: Enhance live products using data-driven insights and collaborate on impactful features.
- Company: Leading streaming platform in Greater Manchester with a focus on innovation.
- Benefits: Hybrid work structure, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape user engagement through data analytics.
- Qualifications: 4+ years in product analytics, strong skills in SQL, Python, and data visualisation.
- Other info: Collaborative environment with a focus on creativity and impact.
The predicted salary is between 42000 - 60000 £ per year.
A leading streaming platform in Greater Manchester is seeking a Senior Data Scientist to enhance their Live product through data-driven insights. The ideal candidate will possess a strong quantitative background with over 4 years of experience in product analytics and proficiency in SQL, Python, and data visualization tools such as Tableau.
This role involves collaborating with product management to create impactful features that improve user engagement and employing A/B testing methodologies. Hybrid work structure is in place with expectations for in-office attendance four days a week.
Senior Data Scientist - Live Product Analytics employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Live Product Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisation projects, especially those using Tableau. We want to impress them with our hands-on experience!
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, especially around A/B testing and product analytics. We can ace those interviews together!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications easily and stay organised.
We think you need these skills to ace Senior Data Scientist - Live Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product analytics and showcases your skills in SQL, Python, and data visualisation tools like Tableau. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing live products through data-driven insights. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your A/B Testing Experience: Since this role involves A/B testing methodologies, make sure to include any relevant experience you have in this area. We’re keen to know how you’ve used A/B testing to drive user engagement in past projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Roku
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and data visualisation tools like Tableau. Be ready to discuss specific projects where you've used these skills to drive product insights. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your A/B Testing Experience
Since this role involves A/B testing methodologies, prepare to share examples of how you've implemented these tests in past projects. Discuss the outcomes and what you learned from them. This will demonstrate your ability to use data to make informed decisions.
✨Understand the Product and Audience
Research the streaming platform and its user base before the interview. Think about how data can enhance user engagement and be ready to suggest potential features or improvements based on your findings. This shows your proactive approach and genuine interest in the role.
✨Prepare for Collaboration Questions
As you'll be working closely with product management, expect questions about teamwork and collaboration. Have examples ready that highlight your ability to work cross-functionally and how you’ve contributed to successful product launches in the past.
