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. You drive methodological rigor, document data assumptions, and reduce manual work through automation, delivering impact for commerce insights.

Compensaciones / Incentivos hybrid work model competitive salary with performance-based rewards and potential equity 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 Collaborate with Solution Architect and commercial stakeholders to translate business questions into robust analyses Drive hands-on execution of analyses across use cases Investigate data issues and resolve them with strong ownership Identify automation, standardization, or better data design to improve quality and speed Requisitos principales 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 Extensive experience in data science, analytics engineering, or similar in data-rich environments SQL Python Spark

📌 Senior Data Scientist, hibrido (Barcelona)
🏢 Criteo
📍 Barcelona