This job is with Criteo, an inclusive employer and a member of myGwork – the largest integral platform for the LGBTQ+ business community. 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.
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.
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 insightgeneration




Develop deep understanding of source tables, data lineage, business logic, and data qualityrisks
Partner with Solution Architect and commercial stakeholders to translate business questionsinto robust analytical approaches
Drive the hands-on execution of analyses across commerce analytics and commerce insightsuse cases
Investigate data issues, edge cases, or inconsistencies and resolve them with strongownership
Help identify where automation, standardization, or better data design can improve quality and speed
Senior and hands-on, with strong ownership of both execution and quality
Deeply comfortable with data engineering and pipelines, analytical logic, and metric design
Strong SQL, Python, spark and strong coding skills for data processing and workflowdevelopment
Strategic enough to improve the system, not just execute within it
Significant experience in data science, analytics engineering, analytical product work, or a similar role in a data-rich environment
We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.
At Criteo, our culture is as unique as it is diverse. Ways of working - Our hybrid model blends home with in-office experiences, making space for both.
Fair pay & perks - Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.

📌 Senior Data Scientist (H/F) (Barcelona)
🏢 Criteo
📍 Barcelona