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As a Data Scientist, you will work at the intersection of data, strategy, and operations. You will use analytical techniques to uncover insights that guide how Spotify plans, prioritizes, and drives execution. You will also explore ways to integrate AI and automation into our workflows and operating model to support smarter and more efficient ways of working.
With access to Spotify’s extensive data ecosystem, you will transform complex information into clear, actionable insights that inform decision-making across teams. Your curiosity and analytical skills will help identify opportunities for improvement and shape how we measure progress and impact.
You will collaborate with analysts, data scientists, engineers, and business partners across Spotify. Continuous learning and experimentation are part of our culture. This role offers the opportunity to grow your craft, contribute to meaningful strategic work, and help refine how Spotify executes at scale.
What You'll Do
- Collaborate with data scientists, analysts, engineers, and business teams to deliver analysis and insights that improve how Spotify executes its strategy
- Build and maintain reliable data models, pipelines, and dashboards that bring together information from across Spotify’s ecosystem
- Create scalable and interactive reports and visualizations that turn data into clear insights and actionable recommendations
- Translate business questions and user needs into analytical approaches that uncover opportunities, inform priorities, and guide decision-making
- Apply analytical techniques, including statistical models and machine learning, to identify trends and generate insights that improve how we work
- Integrate AI and automation into data workflows and planning tools to make processes more efficient and intelligent
- Contribute to improving our data foundations, documentation, and analytical best practices within the CPE team
- Develop structured narratives and recommendations that help teams understand the “why” behind the data and guide their next steps
- You have experience analyzing large datasets and translating them into actionable insights
- You are curious and creative, with a focus on accuracy and clarity in your work
- You have experience turning large, complex datasets into clear insights, recommendations, and stories
- You enjoy working with technical and business teams to turn data into impact
- You are comfortable working in a cloud-based data environment such as BigQuery and using modern data tooling like dbt
- You are proficient in SQL and Python, and have experience building dashboards with tools like Tableau or Looker
- You have a quantitative background in Computer Science, Statistics, Engineering, or a related field
- Experience with operational or work management data is a plus
- This role will be 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.
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.
Key Skills
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