Location
singapore
Job Type
Full-time
Posted
June 04, 2026
Job Description
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...
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...