Transformative End-to-End Supply Chain Data Scientist

La Lorraine Bakery Group; Erpe-Mere; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

One day working from home

Meal vouchers

Hospitalization insurance

Group insurance

Company car

10 extra vacation days

Résumé du poste

La Lorraine Bakery Group is seeking a Full-Stack Data Scientist to transform data into actionable solutions that optimize end-to-end supply chain performance. You will collaborate with business stakeholders, analysts, IT, and data teams to develop scalable analytics and ML models across logistics, warehousing, planning, and customer operations.

You will build decision-support tools, dashboards, and AI-driven solutions, tackling demand forecasting, stock availability, delivery reliability, and

Qualifications

• Master’s degree in Supply Chain, Computer Science, Applied Statistics, Mathematics, ML, or related field.
• Hands-on data science, analytics, or data engineering experience in a business context, preferably in supply chain.

Responsabilités

• Translate supply chain needs into data-driven solutions for planning, forecasting, logistics, and operations.
• Collaborate with supply chain, finance, IT, and data teams to deliver insights and solutions.
• Develop dashboards, forecasting and optimization models, and AI-driven solutions (Databricks, Python, SQL on Azure).
• Work on demand forecasting, stock availability, delivery reliability, and warehouse efficiency.
• Build end-to-end scalable data products from data prep to model monitoring.
• Engage stakeholders to understand needs and drive adoption of insights.
• Contribute to international supply chain data initiatives and coordinate priorities.

Connaissances

Python

SQL

Azure

Databricks

Formation

Master’s degree

Outils

Databricks

Description du poste

La Lorraine Bakery Group is seeking a Full-Stack Data Scientist to transform data into actionable solutions that optimize end-to-end supply chain performance. You will collaborate with business stakeholders, analysts, IT, and data teams to develop scalable analytics and ML models across logistics, warehousing, planning, and customer operations.

You will build decision-support tools, dashboards, and AI-driven solutions, tackling demand forecasting, stock availability, delivery reliability, and