Staff Data Scientist - Experience
Spotify · Hybrid
MeritLog read this listing from Spotify's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- Stockholm; London
- Occupation
- Data Scientists(O*NET 15-2051.00)
Hiring context
How this role compares at Spotify
Spotify has 77 live roles in MeritLog’s catalog across 12 job families, and 27 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
Spotify concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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.
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