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In this role you will lead the end-to-end development of econometric Marketing Mix Models to quantify media and non-media effects on performance. You will integrate MMM with multi-touch attribution and run marketing experiments to validate models. You’ll translate complex analyses into actionable client recommendations and collaborate with cross-functional teams.

This position offers the chance to shape measurement frameworks that drive client growth and optimize media investment. You will work in a data-driven, client-facing environment within Publicis Digitas’ analytics group.

Compensaciones / Beneficios

- Design, build, and maintain Marketing Mix Models (MMM) to quantify impact of media and other drivers on sales and KPIs.
- Model adstock and saturation; translate outputs into budget allocation and optimization scenarios.
- Lead multi-touch attribution (MTA) modeling and integrate with MMM within a unified framework.
- Design and analyze marketing experiments (geo-experiments, holdout, incrementality) to validate models.
- Develop propensity and predictive models to support targeting and decision-making.
- Propose methodological enhancements to improve model performance and reliability.




- Collaborate with multidisciplinary teams to align with client goals.
- Create data reports and visualizations (Power BI) to clearly communicate results.
- Ensure data quality by cleaning and organizing inputs; present findings to clients.

Responsabilidades

- 6+ years in econometric or statistical modeling with end-to-end MMM experience.
- Proficiency in Bayesian methods (e.g., PyMC, Stan) and frequentist approaches; familiarity with MMM tools (Robyn, Meridian, LightweightMMM).
- Strong understanding of causal inference and experience designing marketing experiments (geo-experiments, diff-in-diff, synthetic control).
- Experience building propensity, scoring, or other predictive models for marketing.
- SQL scripting with Python or R; relational databases (MS SQL Server, SQLite, Access).
- ETL techniques; data processing and architecture understanding.
- Strong client-facing communication and ability to translate technical results into business insights. xugodme
- Proficiency in Power BI; data visualization experience.

Requisitos principales

- Flexible Benefits (Coverflex)
- Growth opportunities (local and general training)
- Free online training (LinkedIn Learning, Udemy via Marcel)
- Partner certifications (Meta, Google, Amazon)
- Work from anywhere (telecommute up to 6 weeks)
- Well-being initiatives

📌 Senior Advanced Analytics Specialist (Madrid)
🏢 Publicis Media
📍 Madrid