Senior Data Scientist, Commerce Analytics & Insights

Criteo; Barcelona; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Career development

Equity potential

Job summary

Criteo is seeking a senior, hands-on Data Scientist to own the analytical backbone of Commerce Analytics and Insights. You will lead data pipelines, understand data lineage, and define rigorous methodologies behind key metrics while staying closely aligned with business needs.

You will build scalable analytical foundations, ensure reliability, and reduce manual work through automation. Collaboration with stakeholders and cross-functional teams is essential.

Qualifications

• Senior and hands-on with ownership of execution and quality.
• Strong data engineering, pipelines, analytical logic, and metric design.
• Proficient in SQL, Python, Spark and coding for data processing.
• Experience building production-grade analytical pipelines.
• Experience documenting methods and educating stakeholders on metric definitions.
• Understand tables, connections, and where business interpretation can go wrong.
• Rigorous in defining and validating metrics.
• Able to move from ambiguous questions to executable 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, or similar data-rich role.
• Strong understanding of experimentation, metrics, and QA.
• Experience with large-scale behavioral/commerce/media datasets.

Responsibilities

• Own the data-science and analytical execution layer for Commerce Analytics and Insights.
• Build, improve, and maintain data pipelines powering recurring analytics.
• Understand data lineage, business logic, and data quality risks.
• Ensure outputs are correct, consistent, and reliable.
• Define and validate methodologies behind key metrics and analytics frameworks.
• Partner with Solution Architect and stakeholders to translate questions into analyses.
• Lead hands-on execution of analyses and scalable approaches.
• Document assumptions, limitations, and processes for scale.
• Identify where automation and standardization improve quality and speed.
• Stay aligned with business context and client needs.

Skills

SQL

Python

Spark

Data pipelines

Analytical reasoning

Stakeholder communication

Experimentation

Data quality

Job description

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.

What You'll Do

• 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 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 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.