Back
Mid-level data scientist role with niche SAP and supply-chain skills, moderate competition.
Requires deep supply-chain planning and SAP experience, making cross-industry transfers difficult.
Explicit 5–7 years supply-chain experience and SAP/CPIM requirement enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Apply data science techniques to improve supply chain planning and inventory management processes delivering measurable financial value.
Collaborate globally to design, develop, and deploy analytical tools, optimization models, and supply chain simulations for planning improvements.
Focus on portfolio segmentation, product life cycle management, replenishment strategy development, and inventory optimization within a distribution network.
Degree in Supply Chain Management or APICS CPIM certification.
5-7+ years of experience in Global Supply Chain and Inventory Management (multi-site, multi-region).
Proven knowledge of supply chain planning systems (e.g., SAP APO/IBP, OM Partners) and SAP architecture (tables, transactions).
Proficiency with analytical tools like Excel, Power BI (Power Query/M, DAX), and experience with R/Python or SQL preferred but not strictly required.
Experienced in managing end-to-end supply chain data projects with a hands-on, self-driven approach under moderate supervision.
Able to critically evaluate AI-assisted analytical outputs for supply chain relevance and accuracy before deployment.
Strategic thinker comfortable working across multiple stakeholders in a matrix global environment to deliver decision-support planning tools.