--- title: 'Staff Data Scientist - Experience at Spotify' canonical: 'https://feeny.ai/job/staff-data-scientist-experience-spotify-stockholm-7taecwqpkhp5' type: 'job' last_seen: '2026-09-07' --- # Staff Data Scientist - Experience at Spotify - **Company:** Spotify - **Location:** Stockholm, Sweden - **Work type:** hybrid - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/spotify/bf0984d7-c54f-4a8a-9a15-f870633d62c0 ## 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. ## 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. ## About Spotify ## Company Overview - **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets. - **Entity Type**: Public (NYSE: SPOT) - **Headquarters**: Stockholm, Sweden - **Founded**: 2006 - **Founders**: Daniel Ek and Martin Lorentzon ## Core Business - Primary industry: Audio streaming and digital media - Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists) - Mission: "To deliver creativity to the world—one note, one voice, one idea at a time." ## Products & Services - **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks - **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening - **Spotify for Artists**: Analytics, promotion, and monetization tools for creators - **Spotify Advertising**: Programmatic and self-serve ad platform for brands - **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022) ## Market Standing - **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29) - **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot. - **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013). - **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers. ## Competitive Advantages - Scale: largest audio streaming subscriber base globally - Data and AI personalization: mature recommendation engines and AI-driven discovery - Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app - Strong brand recognition and deep creator relationships ## Strategic Focus - AI-powered personalization and generative audio tools - Audiobook market expansion - Podcast ecosystem growth - Creator monetization and artist tools ## Why Work Here - Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5) - **Work ## Other roles at Spotify - [Talent Acquisition Lead](https://feeny.ai/job/talent-acquisition-lead-spotify-singapore-12xvv8epn405) — Singapore - [Senior Product Manager - Audiobooks Format Foundations](https://feeny.ai/job/senior-product-manager-audiobooks-format-foundations-spotify-london-zw5q1r1wtr0q) — London, United Kingdom - [C++ Engineer - Experience](https://feeny.ai/job/c-engineer-experience-spotify-stockholm-gz7bg2y4csyy) — Stockholm, Sweden - [Manager, Proposition Strategy](https://feeny.ai/job/manager-proposition-strategy-spotify-new-york-hg1v4dt60pvz) — New York, NY - [Social Media Manager, Campaigns & Platform Strategy](https://feeny.ai/job/social-media-manager-campaigns-platform-strategy-spotify-new-york-85n7jmvre48j) — New York, NY - [Product Manager - Customer Service Platform](https://feeny.ai/job/product-manager-customer-service-platform-spotify-london-vg49ft635gk3) — London, United Kingdom - [Engineering Manager - Experimentation](https://feeny.ai/job/engineering-manager-experimentation-spotify-london-wrt5th6mc3qz) — London, United Kingdom - [Senior Machine Learning Engineer - Artist-First AI Music Lab](https://feeny.ai/job/senior-machine-learning-engineer-artist-first-ai-music-lab-spotify-new-york-3878mpf4eh5h) — New York, NY - [Lead, Global Markets Strategy](https://feeny.ai/job/lead-global-markets-strategy-spotify-new-york-bbvadsavxqdz) — New York, NY - [Senior Product Designer - Platform and Partner Experience](https://feeny.ai/job/senior-product-designer-platform-and-partner-experience-spotify-london-htgkdv05ayvj) — London, United Kingdom