What You’ll Do:

We are looking for a senior, strategic, and hands‑on Data Scientist to lead the data and methodological backbone of Commerce Analytics and Commerce Insights at Criteo. This person will own the analytical rigor behind the work: building and improving pipelines, understanding source tables and data dependencies, ensuring reliable execution, and defining or validating the methodologies behind key metrics and outputs.

This role is not only about producing analyses. It is about creating trusted, scalable analytical foundations for Commerce Analytics and Insights, while staying close enough to business context to ensure the work remains relevant and useful.

Success in this role means pipelines and analytical workflows are reliable, maintainable, and trusted;
metrics are clearly defined, methodologically sound, and consistently applied;
and analytical outputs are accurate and resilient enough for repeated commercial use. Data dependencies, assumptions, and limitations should be documented and understood, while manual analytical work should decrease over time as scalable solutions are introduced.

This role is not the primary owner of client orchestration or commercial project leadership.



Its center of gravity is data execution, methodological rigor, and scalable analytical foundations.

Responsibilities

- Own the data‑science and analytical execution layer of Commerce Analytics and Commerce Insights
- Build, improve, and maintain data pipelines that power recurring analytics and insight generation
- Develop deep understanding of source tables, data lineage, business logic, and data quality risks
- Ensure analytical outputs are correct, consistent, and operationally reliable
- Define, document, challenge, and improve methodologies behind key metrics, cuts, and analytical frameworks
- Partner with Solution Architect and commercial stakeholders to translate business questions into robust analytical approaches
- Drive the hands‑on execution of analyses across commerce analytics and commerce insights use cases
- Create scalable approaches rather than one‑off manual work whenever possible
- Investigate data issues, edge cases, or inconsistencies and resolve them with strong ownership
- Contribute to documentation, process improvement, and knowledge

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