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 transfer so that work can scale 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 workflow development

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 QA

Experience working with large‑scale behavioral, commerce, or media datasets

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!

Who We Are: We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. 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. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward‑thinking environment.

We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non‑job‑related factors or legally protected characteristics.

What We Offer: Ways of working – Our hybrid model blends home with in‑office experiences, making space for both. Grow with us – Learning, mentorship & career development programs. Your wellbeing matters – Health benefits, wellness perks & mental health support. A team that cares – Diverse, inclusive, and globally connected. Fair pay & perks – Attractive salary, with performance‑based rewards and family‑friendly policies, plus the potential for equity depending on role and level.

Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.

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