OverviewIn 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.

learning, mentorship & career development

health benefits, wellness perks & mental health support

competitive salary with performance-based rewards and potential equity

ResponsabilidadesOwn 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

Investigate data issues and resolve them with strong ownership

Identify automation, standardization, or better data design to improve quality and speed

Requisitos principalesSenior 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 Health Data Scientist (Barcelona)
🏢 Criteo
📍 Barcelona