Data Scientist, Platform Mission

Data Scientist, Platform Mission at Spotify

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, Platform Mission 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.

Who You Are

• 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.

Where You'll Be

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.

Key skills/competency

• Data Science
• Experimentation Design
• Causal Inference
• Statistical Analysis
• SQL Programming
• Python/R
• Data Visualization
• Tableau/Looker
• Performance Metrics
• Stakeholder Collaboration