We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
Content Platform is responsible for the full content lifecycle at Spotify — from ingestion through to delivery — across music, podcasts, and audiobooks. We ensure content is structured, evaluated, and delivered reliably at global scale, powered by deep content understanding. We bring valuable content to users while ensuring it remains trusted and high-quality over time. The Product Insights team works across the full content lifecycle to improve decision-making, improve our catalog understanding and ensure one of the world’s largest content catalogs is safe and engaging.
We’re looking for a Staff Data Scientist to join the team and tackle complex, high-impact problems by combining strategic thinking with hands-on, tactical execution.
What You'll Do
Lead analyses across user behavior and content data to shape product and strategy decisions.
Shape how we evaluate and improve content classification and taxonomy, with a particular focus on safety, combining analytical depth with a broader view of product and business needs.
Design evaluation frameworks, including sampling strategies, setting baselines, metrics, and annotation-based approaches, and guide how these methods are applied across the team.
Build scalable analytical foundations, including metrics, dashboards, and the data and context needed to enable effective self-serve analysis and agents.
Partner with Product, Engineering, and Operations leadership to shape priorities and how data informs product strategy.
Raise the analytical bar across Product Insights through methodological leadership, mentorship, and by identifying opportunities to improve how we work with data across domains.
Who You Are
You have deep experience as a product data scientist and have operated at Staff level or equivalent.
You have a strong foundation in statistics and experience designing evaluation and measurement approaches, including annotation-based methods and settings where controlled experiments are not feasible.
You have experience in building metrics and reporting systems that support product or policy decision-making.
You have built self-serve analytical tools or data agents that enable others to answer questions effectively.
You are proficient in SQL and experienced with Python, DBT, or similar tools for building and maintaining reliable analytical datasets
You leverage state of the art LLM models to do your analysis while ensuring quality and accuracy in the output
You communicate clearly across functions, influence decisions with senior stakeholders, and help raise analytical standards through mentorship and methodological leadership.
You have experience working on content classification, taxonomy, safety, policy, or adjacent domains where data quality and judgment are important to product decisions.
Where You'll Be
- This role is based in Stockholm or London.
- 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.
Skills Required
- Deep experience as a product data scientist at Staff level or equivalent
- Strong foundation in statistics
- Experience designing evaluation and measurement approaches
- Experience with annotation-based methods and non-experimental evaluation settings
- Experience building metrics and reporting systems for product or policy decision-making
- Experience building self-serve analytical tools or data agents
- Proficiency in SQL
- Experience with Python, dbt, or similar tools for reliable analytical datasets
- Experience leveraging state-of-the-art LLM models for analysis while ensuring output quality and accuracy
- Clear cross-functional communication and ability to influence senior stakeholders
- Experience with content classification, taxonomy, safety, policy, or adjacent data-quality domains
- Ability to mentor others and provide methodological leadership
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
