Experteer Overview
In this senior, hands-on role you own the data-science and analytical execution layer for Commerce Analytics and Insights. You build scalable pipelines, understand data lineage, and ensure reliable metrics and outputs. Your work creates trusted foundations for scalable analytical products while staying aligned with business questions. You drive methodological rigor, document data assumptions, and reduce manual work through automation, delivering impact for commerce insights.

Compensaciones / Incentivos
• Own the data-science and analytical execution layer for Commerce Analytics and Commerce Insights
• Build, improve, and maintain data pipelines powering recurring analytics
• Understand source tables, data lineage, and data quality risks
• Ensure outputs are correct, consistent, and operationally reliable
• Define, document, challenge, and improve methodologies behind key metrics and analytical frameworks
• Collaborate with Solution Architect and commercial stakeholders to translate business questions into robust analyses
• Drive hands-on execution of analyses across use cases
• Create scalable approaches over one-off manual work
• Investigate data issues and resolve them with strong ownership
• Contribute to documentation, process improvement, and knowledge transfer for scalability
• Identify automation, standardization, or better data design to improve quality and speed




• Stay close to business context to ensure technical execution aligns with client needs

Responsabilidades
• Senior and hands-on with ownership of execution and quality
• Strong data engineering, pipelines, analytical logic, and metric design
• Proficient in SQL, Python, Spark and coding for data processing
• Experience building production-grade analytical pipelines
• Experience documenting methods and educating stakeholders on metric definitions
• Ability to understand table meanings, connections, and potential misinterpretations
• Methodologically rigorous with judgment in metric definition and validation
• Structured and practical, able to translate ambiguous questions into executable solutions
• Comfort collaborating with client-facing and non-technical stakeholders
• Strategic mindset to improve systems beyond mere execution
• Extensive experience in data science, analytics engineering, or similar in data-rich environments
• Strong understanding of experimentation, metrics, methodology design, and QA
• Experience with large-scale behavioral, commerce, or media datasets

Requisitos principales
• hybrid work model
• learning, mentorship u0026 career development
• health benefits, wellness perks u0026 mental health support
• diverse, inclusive, globally connected culture
• competitive salary with performance-based rewards and potential equity

📌 Senior Data Scientist, Commerce Analytics & Insights (Barcelona)
🏢 Criteo
📍 Barcelona