Staff Data Scientist

Spotify

Staff Data Scientist improving Spotify’s global content classification, safety, and catalog insights. Shaping product strategy through evaluation frameworks, metrics, dashboards, and analytical tools.

Posted 9/4/2026full-timeStockholm • 🇸🇪 SwedenLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product data science with a strong foundation in statistics and experience in designing evaluation frameworks and metrics for data-informed decision-making. Proficient in building self-serve analytical tools and leveraging advanced models for quality analysis in content classification and safety.

Highest-signal resume keywords

Product Data ScienceStatistical AnalysisSQL ProficiencyPython ExperienceContent Classification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisEvaluation Framework DesignMetrics DevelopmentSelf-Serve Analytical ToolsContent ClassificationTaxonomy ImprovementAnnotation-Based MethodsControlled Experiment DesignData Quality AssuranceAnalytical Dataset Maintenance

Soft Skills

Cross-Functional CommunicationInfluencing Senior StakeholdersMentorshipMethodological Leadership

Tools & Technologies

SQLPythonDBTLLM Models

Industry Keywords

Content SafetyData PracticesConsumer ExperienceProduct StrategyAnalytical Standards

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead analyses across user behavior and content data to shape product and strategy decisions
Shape evaluation and improvement of content classification and taxonomy, focusing on safety
Design evaluation frameworks, including sampling strategies, baselines, metrics, and annotation-based approaches
Build scalable analytical foundations, including metrics, dashboards, and data and context for self-serve analysis and agents
Partner with Product, Engineering, and Operations leadership on priorities and data-informed product strategy
Raise analytical standards through methodological leadership, mentorship, and improvements to data practices across domains
Support Spotify’s consumer experience and Content Platform across music, podcasts, and audiobooks

Requirements

What you’ll need

Deep experience as a product data scientist and Staff-level or equivalent experience
Strong foundation in statistics
Experience designing evaluation and measurement approaches, including annotation-based methods and settings where controlled experiments are not feasible
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 building and maintaining reliable analytical datasets
Ability to leverage state-of-the-art LLM models for analysis while ensuring quality and accuracy
Clear cross-functional communication and ability to influence senior stakeholders
Mentorship and methodological leadership experience
Experience with content classification, taxonomy, safety, policy, or adjacent domains where data quality and judgment are important

Benefits

Comp & perks

Flexibility to work where you work best
Flexibility to work from home
In-person meetings with flexible work arrangement