Senior Data Scientist, Commerce Analytics & Insights

About the Position

Senior Data Scientist, Commerce Analytics & Insights

We are seeking 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.

Location: Barcelona, Spain

Employment Type: Permanent - Full Time

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

Requirements

• Core Skills:
  • Strong SQL, Python, Spark, and 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
• Experience:
  • 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 Offer

• Ways of Working: Our hybrid model blends home with in-office experiences, making space for both.
• Growth Opportunities: Learning, mentorship, and career development programs.
• Wellbeing: Health benefits, wellness perks, and mental health support.
• Team: Diverse, inclusive, and globally connected.
• Compensation: Attractive salary, performance-based rewards, family-friendly policies, and potential equity.

About the Company

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.