At a Glance
- Tasks: Design performance metrics, analyse data, and influence decisions with compelling insights.
- Company: Join Spotify, the world’s leading audio streaming service, known for innovation and inclusivity.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping product decisions and driving evidence-based strategies.
- Qualifications: Experience in data science, statistical methods, and data visualisation tools like Tableau or Looker.
- Other info: Collaborative culture with a focus on diversity and personal growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision‑making.
As a Data Scientist on the team, you’ll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence‑driven decisions.
What You’ll Do- Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
- Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
- Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
- Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
- Apply statistical and causal inference methods to evaluate product changes for internal and external users.
- Create compelling data stories through visualizations and reporting that influence decision‑making across the Alliance.
- Grow into a strategic analytical partner by taking on increasingly complex data challenges.
- You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
- You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
- You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
- You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large‑scale data technologies.
- You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
- You have experience collaborating with engineers, product managers, and cross‑functional partners.
- You are curious, adaptable, and excited to grow your craft over time.
This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in‑person meetings, but still allows for flexibility to work from home.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know – we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Data Scientist II - Platform Mission employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist II - Platform Mission
✨Tip Number 1
Network like a pro! Reach out to current or former Spotify employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Platform team. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. Use real-world examples that demonstrate your ability to derive insights from complex datasets. This will help you stand out during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python, R, and SQL skills. Practice solving data problems and explaining your thought process clearly. Being able to communicate your approach is just as important as getting the right answer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Spotify family. Let’s get you that Data Scientist II role!
We think you need these skills to ace Data Scientist II - Platform Mission
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist II role. Highlight your experience with experimentation, causal inference, and data visualisation tools like Tableau or Looker.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at Spotify. Share specific examples of how you've used data to drive decisions and how you can contribute to our mission of unlocking human creativity.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing how you've tackled complex datasets and created impactful insights.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Spotify
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of statistical techniques, causal inference, and experimentation methods. Be ready to discuss how you've applied these in past projects, especially in relation to A/B testing and performance metrics.
✨Show Off Your Visualisation Skills
Prepare to showcase your experience with data visualisation tools like Tableau or Looker. Bring examples of dashboards or reports you've created that effectively communicated insights and influenced decision-making.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with engineers or product managers. Highlight how you’ve contributed to team projects and the impact of your insights.
✨Be Curious and Adaptable
Spotify values curiosity and adaptability, so come prepared to discuss how you've tackled complex data challenges in the past. Share instances where you've had to pivot your approach based on new findings or feedback.