About the job
Who Are We?
At MARGO, our consultants focus on what truly matters: complex projects that blend intellectual challenge with tangible business impact.
We support leading players in finance, industry, and tech on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.
Why Join the AI Practice?
You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.
Working alongside him means joining a passionate group of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.
Your Responsibilities
We are currently seeking a Data Scientist for a major French industrial group to contribute to a strategic marketing optimization project.
Your responsibilities will include:
- Development and deployment of Marketing Mix Modeling (MMM) models leveraging large volumes of marketing data (TV, digital, social media, brand experiences, etc.) to measure the impact of investments on sales and brand valuation;
- Delivering large-scale models across strategic markets, integrating complex and heterogeneous environments;
- Calculating and monitoring key performance indicators such as ROS (Return on Spend) and ROI (Return on Investment) by channel and brand;
- Direct interaction with marketing teams to provide recommendations on optimal budget allocation;
- Participating in the evolution of code and methodologies in future data migrations;
- Contributing to new projects around generative AI applied to marketing content creation.
Technical Environment
Infrastructure: Azure
Data Preparation: PySpark, Databricks, Snowflake
ML Development: Python (VS Code), AzureML
Development Tools: Git (Azure DevOps), Postman, Streamlit
Documentation: Notion
Methodology: Agile / Scrum
Desired Profile
We seek demanding engineers and data scientists passionate about AI and eager to thrive in complex environments.
- Education: Master’s degree (engineering school, university, PhD preferred);
- Experience in Data Science applied to business challenges (preferably in marketing, pricing, budget allocation, etc.);
- Strong analytical and problem-solving skills;
- Proficient in programming languages and statistical tools;
- Team player with excellent communication skills.
