Overview
Senior Marketing Data Scientist Consultant advising clients on strategic data and AI use cases across marketing, client, and product topics.
What you'll do
- Conduct advanced analytics & business intelligence to support strategic business decisions.
- Design business intelligence solutions and self-service tools using data engineering and analytics.
- Build machine learning models for prediction, segmentation, recommendation, and forecasting.
- Develop AI and generative AI use cases for data and content analysis (NLP, marketing mix modelling, recommendations, personalization).
- Translate data into performance levers aligned with business needs and customer experience.
- Communicate analyses and recommendations to non-technical stakeholders and manage projects independently.
What you'll need
- Have at least 3 years of significant experience in data science in a marketing or business strategy context.
- Master Python, SQL, and data modeling.
- Demonstrate strong knowledge of machine learning and generative AI algorithms (supervised, unsupervised, clustering).
- Have experience with NLP and/or generative AI approaches.
- Show a strong business orientation for understanding marketing challenges and designing data solutions.
- Communicate effectively in written and spoken form for top management presentations.
Nice to have
- Cloud environment experience (GCP, AWS, or Azure).
- Knowledge of business contexts in luxury, mass retail/consumer goods, energy, banking, and insurance.
- Experience in data analysis in a marketing context.
- BI tools proficiency (Power BI, Tableau, Qlik) and visualization (dash, plotly).
Details
- Work with clients in sectors including Luxe, Retail, Énergie, and Banque.