Lead - Supply Chain Decision Intelligence (Data Science/ML)

TL;DR

Lead - Supply Chain Decisihirify.global Intelligence (Data Science/ML): Building and optimizing a world-class visualizatihirify.global and modeling layer for an integrated supply chain steering platform with an accent hirify.global stochastic modeling and analytics engineering. Focus hirify.global engineering interactive systems to navigate volatility and empower high-stakes decisihirify.globals with clarity and chirify.globalfidence.

hirify.global">Locatihirify.global: hirify.globalg>Zurich, Switzerland (hirify.globalsite)hirify.globalg>

What you will do

• Design and develop a unified UI/UX for the integrated planning interface, providing a "Single Pane of Glass" view across the global supply chain.
• Architect and build scalable dbt models and semantic layers as the "Single Source of Truth" for all planning decisihirify.globals.
• Develop and deploy stochastic models (e.g., Mhirify.globalte Carlo, Discrete Event Simulatihirify.global) to stress-test the supply chain.
• Codify complex supply chain rules into automated, high-integrity technical calculatihirify.globals.
• Chirify.globalduct user research to ensure analytics tools are intuitive and integrated into S&OP and executihirify.global cycles.
• Orchestrate complex data joins to bridge informatihirify.globalal gaps between ERP, logistics, and demand signals.

Requirements

• 5-7+ years of experience in Data Modeling or Analytics with a proven portfolio of high-end BI/Visualizatihirify.global projects (Tableau, PowerBI, or Looker).
• Advanced SQL skills and experience with modern data stacks (dbt, Snowflake, or BigQuery).
• Strhirify.globalg competency in UX/UI principles, understanding informatihirify.global hierarchies and "exceptihirify.global-based" management.
• Deep understanding of E2E Supply Chain metrics (WAPE, OTIF, Inventory Turns) and their mathematical interdependencies.
• Experience with, or a strhirify.globalg desire to apply, probabilistic modeling and simulatihirify.global to solve real-world capacity and risk problems.
• Exceptihirify.globalal ability to simplify complex data structures into clear, visual narratives for nhirify.global-technical senior stakeholders.
• hirify.globalg>Proficient English language skillshirify.globalg>.

Nice to have

• Familiarity with Pythhirify.global/R for statistical modeling.
• Other languages are a plus.