Lead Data Scientist, Supply Chain Forecasting

About

As a Lead Data Scientist specialized in Supply Chain Forecasting, your mission is to revolutionize how we move products globally by building the next generation of predictive systems. You will bridge the gap between bleeding-edge research-such as Time Series Foundation Models-and production-grade supply chain solutions. This is a role for an experienced forecasting expert who has experience in building forecasts that combine multiple approaches to drive metrics such as Forecast Accuracy, stockout % and On-Time-In-Full (OTIF) metrics.

Your Story

• Extensive Experience: You have 5+ years of experience in data science, with a deep specialization in demand forecasting and optimization within supply chain or retail environments.
• Technical Mastery: You are an expert in Python and SQL, with a proven track record of building and maintaining production-grade models, preferably using GCP and Vertex AI.
• Advanced Modeling: You have hands-on experience with Time Series Foundation Models, hierarchical forecasting, and solving "cold start" problems for high-growth product lines.
• Agentic Proficiency: You are comfortable using agentic coding tools to enhance productivity and are familiar with LLM-based approaches for data science workflows.
• Collaboration: You have a strong track record of working with multi-disciplinary teams to drive high impact in complex environments.
• Engineering Mindset: You are an engineer at heart, prioritizing robust code, CI/CD, and MLOps principles to ensure model reliability in a global, 24/7 supply chain.
• Academic Foundation: You hold a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Mathematics, Statistics) and stay at the forefront of AI research.