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.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 You'll DoOwn 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

Ensure analytical outputs are correct, consistent, and operationally reliable

Define, document, challenge, and improve methodologies behind key metrics, cuts,



andanalytical frameworks

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

Create scalable approaches rather than one-off manual work whenever possible

Investigate data issues, edge cases, or inconsistencies and resolve them with strongownership

Contribute to documentation, process improvement, and knowledge transfer so that work canscale beyond one individual

Help identify where automation, standardization, or better data design can improve quality and speed

Stay close to business context so that technical execution remains aligned with client and program needs

Who You Are: 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

Experience building production-grade or near-production analytical pipelines





Experience documenting methods and educating stakeholders on metric definitions and analytical caveats is a plus

Able to understand what tables mean, how they connect, and where business interpretation can go wrong

Methodologically rigorous, with strong judgment on how to define and validate metrics

Structured and practical: you can move from ambiguous business questions to executable analytical solutions

Comfortable collaborating with client-facing and non-technical stakeholders, even if this is not the center of gravity of the role

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

Strong understanding of experimentation, metrics, methodology design, and analytical QAExperience working with large-scale behavioral, commerce, or media datasets

We acknowledge that many candidates may not meet every single role requirement listed above.

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.

What We Offer:? 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. Summary

Location: Barcelona

Type: Full time

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