Senior Data Scientist - Generative AI

CSA, the data consultancy within Havas Media Group, is seeking a Senior Data Scientist Generative AI to join our Global Product Team, working on advanced measurement initiatives and new projects in Martech ecosystem with major partners like Meta and Google.

In this role, you will lead end-to-end data integration and modeling efforts for strategic initiatives, designing scalable data pipelines to collect, process, and monitor a variety of inputs from internal and external sources. You will be responsible for ensuring data quality, surfacing key insights through dashboards and alerts, and contributing to the continuous evolution of our analytics platforms. In parallel, you will help develop and implement machine learning solutions —including generative AI models— to automate and enhance content transformation and performance analysis. Collaborating cross-functionally with product, consulting, and engineering teams, you’ll help deliver privacy-first, production-ready tools that unlock value and enable ongoing optimization.

Key Responsibilities

Solution Design & Requirements

Collaborate with product and engineering teams to translate strategic goals into technical designs, defining data needs, modeling strategies, success metrics, and evaluation frameworks.

ETL & Data Pipelines

Develop and maintain robust data pipelines to ingest, transform, and validate information from multiple sources. Ensure performance, scalability, quota compliance, and resilience through well-structured processes.

Applied AI & Modeling

Design and implement machine learning workflows and models to automate tasks such as content analysis, data enrichment, or performance optimization. Evaluate model outputs and integrate them into broader analytics pipelines.

AI Tools & Agent Integration

Leverage Google Cloud’s AI capabilities (Mainly on Vertex AI) to build intelligent agents and enhance platform functionalities. Integrate these services into production environments through well-documented APIs and infrastructure modules.

Testing & QA Support

Define and execute testing strategies to validate models and data transformations. Support quality assurance efforts across the development cycle to ensure solution integrity.

Deployment & Documentation

Deploy components using infrastructure-as-code practices. Create and maintain comprehensive technical documentation including architecture diagrams, user guides, notebooks, and demo scripts.

Training & Stakeholder Enablement

Support internal demos and training. Develop materials to ensure adoption, knowledge transfer, and ongoing collaboration.

Requirements

• Bachelor’s or master's in data science, Statistics, Computer Science, or related.
• 3–5 years in marketing analytics or data science roles.
• Contribute to model deployment and integration into CSA’s web-based platforms, in collaboration with product and data engineering teams.
• Proficiency in Python (pandas, NumPy) and advanced SQL.
• Strong foundation in statistics.
• Familiarity with causal inference, time-series modeling, and regression analysis.
• Experience using LLMs on automated workflows.
• Experience with Google AI APIs (Vertex), Google GMP and Meta Marketing API is a plus.
• Practical experience deploying data pipelines on GCP: BigQuery, Cloud Storage, Cloud Composer, Dataflow/Cloud Functions.
• Intermediate-to-advanced technical English (reading & writing).
• Experience with data visualization and storytelling with data.
• Very good communication skills, capacity to collaborate and build relationships with non-technical users and stakeholders.

Why Join CSA at HAVAS?

• Be part of a truly global Product Team working on high-impact, innovative projects with leading partners like Meta and Google and major clients worldwide.
• Work in a culture that values rigor, creativity, and continuous learning.
• Enjoy flexible, fully remote work arrangements and a healthy work-life balance.