Role Summary The Principal Data Scientist is the technical and strategic owner of scenario planning across the organization. This role defines the global scenario architecture, ensures alignment with IBP and S&OP, leads multi-domain modeling (demand/supply/network), and drives the adoption of simulation, optimization, and agentic AI-based scenario engines. Acts as a senior advisor to Directors and VPs. Key Responsibilities

• Design and govern the enterprise-wide scenario planning framework, including templates, taxonomies, and scalability standards.
• Build multi-layer simulation frameworks (deterministic, stochastic, Monte Carlo, empirical).
• Define relationships between scenario outputs and planning decisions (e.g., SL trade-offs, buffer logic, allocation rules, capacity constraints).
• Lead cross-functional scenario reviews with Finance, Category, Factory Ops, and Regional Planning.
• Identify and formalize structural driver...