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

About the role

Develop and improve predictive commodity market models and interactive analytics focused on global trade prices and volumes, shipping, logistics, and supply and demand. Prepare and integrate data, apply optimization to logistics and trading problems, collaborate with customers and technical teams, and support production deployment and model development across the team. 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 tools and software development practices, and the ability to work independently and communicate complex ideas clearly; chemical industry knowledge and Databricks or Snowflake experience are advantages.