Data Scientist

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 drivers of risk: forecast drift, bias, lead-time volatility, canniba...