Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Staff Data Scientist - Experience role.
Rezi rewrites your resume against Spotify's job description. Free.
Tailor your resume to this Staff Data Scientist - Experience role.
Rezi rewrites your resume against Spotify's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Scientist - Experience posting at Spotify — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Data Scientist - Experience posting at Spotify — free, in seconds.
About the Role
Content Platform is responsible for the full content lifecycle at Spotify, ensuring content is structured, evaluated, and delivered reliably at global scale. The Product Insights team works across the full content lifecycle to improve decision-making, catalog understanding, and ensure a safe and engaging content catalog. We are looking for a Staff Data Scientist to tackle complex, high-impact problems by combining strategic thinking with hands-on execution.
Responsibilities
- Lead analyses across user behavior and content data to shape product and strategy decisions.
- Shape how we evaluate and improve content classification and taxonomy, focusing on safety, combining analytical depth with product and business needs.
- Design evaluation frameworks, including sampling strategies, baselines, metrics, and annotation-based approaches, and guide their application.
- Build scalable analytical foundations, including metrics, dashboards, and data for effective self-serve analysis.
- Partner with Product, Engineering, and Operations leadership to shape priorities and inform product strategy with data.
- Raise the analytical bar through methodological leadership, mentorship, and identifying opportunities to improve data work across domains.
Requirements
- Deep experience as a product data scientist operating at Staff level or equivalent.
- Strong foundation in statistics and experience designing evaluation and measurement approaches, including annotation-based methods and situations where controlled experiments are not feasible.
- Experience in building metrics and reporting systems that support product or policy decision-making.
- Experience building self-serve analytical tools or data agents.
- Proficiency in SQL and experience with Python, DBT, or similar tools for building and maintaining reliable analytical datasets.
- Experience leveraging state-of-the-art LLM models for analysis, ensuring quality and accuracy.
- Clear communication across functions, influencing decisions with senior stakeholders, and raising analytical standards through mentorship and methodological leadership.
- Experience working on content classification, taxonomy, safety, policy, or adjacent domains where data quality and judgment are important to product decisions.
Skills
- Statistics
- Evaluation and measurement approaches
- Annotation-based methods
- Metrics and reporting systems
- Self-serve analytical tools
- Data agents
- SQL
- Python
- DBT
- LLM models
- Content classification
- Taxonomy
- Safety
- Policy
Location
- Stockholm
- London
Work Type
- Hybrid
Experience Level
- Staff level or equivalent
About the Company
- 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.
- We turn complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to smart speakers, TVs, cars, and integrations.
- 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.