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CriteoPosted 1 month ago

Senior Data Scientist, Commerce Analytics & Insights

HybridBarcelona, Catalonia, Spain

Full TimeSenior LevelDoctorate Or Professional DegreeLarge

Job Summary

Build and maintain data pipelines that power recurring analytics and insight generation for Commerce Analytics and Insights. Develop deep understanding of source tables, data lineage, and business logic to ensure analytical outputs are correct, consistent, and operationally reliable. Define, document, and challenge methodologies behind key metrics, cuts, and analytical frameworks while resolving data issues and edge cases with strong ownership. Drive hands-on execution of analyses across use cases, prioritizing scalable approaches over manual work and contributing to process improvement and knowledge transfer. Stay close to business context to align technical execution with client and program needs, ensuring work remains relevant and useful.

Required Qualifications

  • Senior and hands-on
  • Strong ownership of both execution and quality
  • Deeply comfortable with data engineering and pipelines
  • Analytical logic
  • Metric design
  • Strong SQL
  • Python
  • Spark
  • 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
  • Able to understand what tables mean, how they connect, and where business interpretation can go wrong
  • Methodologically rigorous
  • Strong judgment on how to define and validate metrics
  • Structured and practical
  • Can move from ambiguous business questions to executable analytical solutions
  • Comfortable collaborating with client-facing and non-technical stakeholders
  • 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

Desired Qualifications

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

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