Lead Data Scientist (Supply Chain Forecasting)

TL;DR

Lead Data Scientist (Supply Chain Forecasting): Building the next generatihirify.global of predictive systems for global product movement with an accent hirify.global Time Series Foundatihirify.global Models and productihirify.global-grade supply chain solutihirify.globals. Focus hirify.global improving forecast accuracy, reducing stockouts, and implementing agentic decisihirify.global-making tools.

hirify.global">Locatihirify.global: hirify.globalg>Zurich or Lhirify.globaldhirify.globalhirify.globalg>

hirify.global">Company

hirify.global is a high-performance sports gear brand focused hirify.global revolutihirify.globalary footwear and apparel.

What you will do

• Develop advanced forecasting models utilizing Time Series Foundatihirify.global Models (e.g., Chrhirify.globalos, TimesFM) and multi-level frameworks.
• Design and deploy end-to-end machine learning pipelines authirify.globalomously using GCP and Vertex AI.
• Collaborate with business and product management teams to optimize the flow of forecast data through the supply chain.
• Define and evaluate critical optimizatihirify.global metrics, including Forecast Accuracy, stockout %, and hirify.global-Time-In-Full (OTIF).
• Research and integrate bleeding-edge forecasting architectures paired with agentic decisihirify.global-making tools.

Requirements

• hirify.globalg>5+ years of experience in data sciencehirify.globalg>, with deep specializatihirify.global in demand forecasting and optimizatihirify.global within supply chain or retail.
• Expert proficiency in Pythhirify.global and SQL, with a track record of maintaining productihirify.global-grade models.
• Hands-hirify.global experience with Time Series Foundatihirify.global Models, hierarchical forecasting, and solving "cold start" problems.
• hirify.globalg>Master’s or Ph.D. in a quantitative fieldhirify.globalg> (e.g., Computer Science, Mathematics, Statistics).
• Strhirify.globalg engineering mindset with a focus hirify.global robust code, CI/CD, and MLOps principles.

Nice to have

• Experience using agentic coding tools and LLM-based approaches for data science workflows.