Data Scientist & AI Commercial Specialist

Role Overview

Lead the development, implementation, and evolution of advanced analytics solutions, machine learning, predictive models, optimization, and commercial segmentation to strengthen decision-making in Go-to-Market, Trade Marketing, Commercial Excellence, and Modern Channel.

What You Will Do

Develop asset commercial optimization models, advanced analytics of commercial assets, design client, channel, and point of sale segmentation algorithms, correlate client information with digital autonomy indicators, develop predictive demand models, implement optimization and recommendation models, and validate the quality, consistency, and governance of commercial data.

Why It Might Be a Fit

Minimum 3 to 5 years of experience in applied data science to business, advanced analytics, machine learning, predictive models, optimization, or business analytics; ideally in mass consumption, beverages, retail, trade marketing, GTM, or commercial transformation.

Requirements

• Bachelor’s, Engineering, or Master’s degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Systems Engineering, Economics, Business Analytics, Artificial Intelligence, or related fields
• Minimum 3 to 5 years of experience in applied data science to business, advanced analytics, machine learning, predictive models, optimization, or business analytics
• Minimum 3 to 5 years in domain of Python/R, SQL, Power BI, and cloud platforms (Azure/AWS/GCP)
• Experience with SAP, Nielsen/Circana, commercial databases, transactional data, clients, portfolio, and execution at the point of sale
• Knowledge of supervised/unsupervised ML, forecasting, optimization models, segmentation, scoring, clustering, and recommendation systems
• Knowledge and practical experience in generative artificial intelligence, LLMs, AI agents in Azure (Foundry, Copilot) and Cloud