Data Scientist

• Own Product Data as a discipline across the User, Content, and Performance domains
• Define technical and analytical direction with the Director of Data
• Act as a reference point for analysts, data engineers, and data scientists
• Build an operating model and shared playbook of standards, guidelines, and reusable patterns
• Establish practices for data-product ownership, documentation, reliability, metrics, KPIs, engineering, and experimentation
• Lead cross-product data initiatives spanning multiple domains and brands
• Explore and scale AI applications across data work and set quality standards for AI-produced analysis
• Ensure data is ready to power AI product features
• Partner with central Data and AI teams on governance, architecture, and shared standards
• Translate shared decisions into Product ways of working
• Coach and develop senior and lead individual contributors without line management
• Collaborate with editorial, brand, technology, product, and data stakeholders across the Nordics

Explore Senior Data Lead – Product at Schibsted. Review requirements and application details.