Senior Data Scientist, Commerce Analytics & Insights at Criteo | AdTechTalent
Data Science2 months agoHybrid
Criteo
Senior Data Scientist, Commerce Analytics & Insights
data sciencecommerce analyticsanalytics engineeringSQLPythonSparkdata pipelinesmetricsmethodologyanalytical QAdata qualityexperimentationcommercebehavioral data
Key details
Salary
Not specified
Employment type
Permanent Full Time
Seniority
Senior
Years experience
5-10
Location
Barcelona, Spain
Full job description
Senior Data Scientist role focused on leading data and methodological execution for Commerce Analytics and Insights. Responsibilities include building and maintaining data pipelines, ensuring data quality, defining and improving metric methodologies, collaborating with stakeholders to translate business questions into analytical solutions, and driving scalable, reliable analytics workflows. Requires strong skills in SQL, Python, Spark, data engineering, metric design, and experience with large-scale commerce or behavioral datasets. The role supports a hybrid work model based in Barcelona, Spain.
What you'll do
Own the data-science and analytical execution layer of Commerce Analytics and Commerce Insights
Build, improve, and maintain data pipelines powering recurring analytics and insight generation
Develop deep understanding of source tables, data lineage, business logic, and data quality risks
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Requirements
Strong ownership of both execution and quality
Comfortable with data engineering and pipelines, analytical logic, and metric design
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
Ability to understand data tables, their connections, and business interpretation risks
Methodologically rigorous with strong judgment on metric definition and validation
Ability to translate ambiguous business questions into executable analytical solutions
Comfortable collaborating with client-facing and non-technical stakeholders
Strategic mindset to improve systems beyond execution
Significant experience in data science, analytics engineering, analytical product work, or similar roles in data-rich environments
Strong understanding of experimentation, metrics, methodology design, and analytical QA
Experience working with large-scale behavioral, commerce, or media datasets
Tech stack
SQLPythonSpark
Benefits
Hybrid working model blending home and in-office experiencesLearning, mentorship, and career development programsHealth benefits, wellness perks, and mental health supportDiverse, inclusive, and globally connected teamAttractive salary with performance-based rewards and family-friendly policiesPotential for equity depending on role and level
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