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

About the role

Develop and improve quantitative commodity market models and optimization solutions for global trade, shipping, logistics, supply, demand, and prices. Build interactive decision-support analytics, prepare and integrate data and models into shared platforms, collaborate with customers and technical teams, and support colleagues in model development. Requires 3–5 years of practical predictive modeling experience in commodity markets or trading, especially in global trade flows, storage, and supply-chain logistics, along with knowledge of mathematical optimization. Candidates should have production-ready Python and SQL skills, experience with data science and software development practices, and the ability to work independently and communicate complex ideas clearly.