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- Tasks: Enhance live products using data insights and collaborate on impactful features.
- Company: Leading streaming platform in Greater Manchester with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape user engagement through data-driven decisions.
- 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 36000 - 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 in Manchester employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Live Product Analytics in Manchester
✨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
Prepare for those interviews by brushing up on your SQL and Python skills. We want to showcase our technical prowess, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Showcase your data visualisation skills! Create a portfolio of your best Tableau dashboards and analytics projects. This will help us stand out and demonstrate our ability to turn data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our experience aligns with the role.
We think you need these skills to ace Senior Data Scientist - Live Product Analytics in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and data visualisation tools like Tableau. We want to see how your skills can enhance our Live product, so don’t hold back!
Quantify Your Achievements: When detailing your past experiences, use numbers to showcase your impact. Whether it’s improved user engagement or successful A/B tests, we love seeing the tangible results of your work.
Tailor Your Application: Don’t just send a generic application! Take the time to align your experience with the job description. We’re looking for someone who understands the role and can bring valuable insights to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 audience before the interview. Familiarise yourself with their current products and think about how data-driven insights could enhance user engagement. This shows your genuine interest in the company and its goals.
✨Prepare for Collaboration Questions
As you'll be working closely with product management, be ready to discuss your experience collaborating with cross-functional teams. Think of examples where your data insights led to impactful features or improvements, highlighting your teamwork and communication skills.
