Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics m/f/d

About the role

Develop and improve Python-based commodity market models for demand, supply, storage, trade, transport, and price forecasting, applying optimization techniques to logistics and trading problems. Prepare and integrate market datasets, build interactive decision-support analytics, collaborate with customers and technical teams, and guide model development and productionization. Candidates should have 3–5 years of practical predictive modeling experience related to commodity markets or trading, especially global trade flows, storage, logistics, supply, demand, and prices, along with knowledge of mathematical optimization. They should be proficient in production-ready Python and SQL, data science and visualization tools, and software development practices, and be able to work independently and communicate complex ideas clearly.