Data Scientist

The Principal Data Scientist is the technical and strategic owner of enterprise-wide scenario planning, defining the global architecture and driving the adoption of simulation, optimization, and agentic AI-based engines. Design and govern a scalable enterprise scenario planning framework, including templates, taxonomies, and governance standards. Build multi-layer simulation frameworks (deterministic, stochastic, Monte Carlo, empirical) and tie outputs to planning decisions (trade-offs, buffers, allocation rules, capacity constraints). Lead cross-functional reviews with Finance, Category, Factory Ops, and Regional Planning to identify structural drivers of risk such as forecast drift, lead-time volatility, cannibalization, and market shocks. Architect the technical foundation for the scenario engine and ensure integration with IBP/S&OP cycles, automated updates, and governance. Mentor Expert and Specialist DSs; communicate with executives to simplify technical concepts, while ensuring governance, explainability, auditability, and risk controls.