Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design performance metrics and drive product insights through data analysis.
- Company: Leading audio streaming company with a focus on inclusivity.
- Benefits: Flexible work environment and opportunities for professional growth.
- Why this job: Join us to shape the future of audio streaming with your data expertise.
- Qualifications: Strong skills in data science programming, experimentation, and visualisation.
The predicted salary is between 36000 - 60000 £ per year.
A leading audio streaming company is looking for a Data Scientist to join the SAFE Insights team in London. This role involves designing performance metrics, collaborating with various teams, and utilizing statistical methods to drive product insights.
Applicants should have strong skills in data science programming, experimentation, and data visualization. The company values inclusivity and offers a flexible work environment. Join us to impact the future of audio streaming!
Data Scientist - Platform Insights & Experimentation employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Platform Insights & Experimentation
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Building connections can give us the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving performance metrics and experimentation. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on statistical methods and data visualisation techniques. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role in the SAFE Insights team.
We think you need these skills to ace Data Scientist - Platform Insights & Experimentation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science programming skills and experience with experimentation. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about audio streaming and how your skills can contribute to the SAFE Insights team. Let us know what excites you about this opportunity!
Showcase Your Data Visualisation Skills: Since this role involves data visualisation, include examples of your work in this area. Whether it’s through links to projects or screenshots, we want to see how you can turn complex data into clear insights.
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 updates from us!
How to prepare for a job interview at Spotify
✨Know Your Data Science Stuff
Make sure you brush up on your data science programming skills, especially in languages like Python or R. Be ready to discuss your experience with statistical methods and how you've applied them in past projects.
✨Show Off Your Experimentation Skills
Prepare to talk about specific experiments you've designed or analysed. Think about the metrics you used to measure success and be ready to explain how those insights drove product decisions.
✨Visualisation is Key
Since this role involves data visualisation, have examples ready of how you've turned complex data into clear, actionable insights. Use visuals if possible to demonstrate your points during the interview.
✨Embrace Inclusivity and Flexibility
Familiarise yourself with the company's values around inclusivity and flexible work. Be prepared to discuss how you can contribute to a positive team culture and adapt to different working styles.
