Lead Data Scientist / Quantitative Analyst - Commodity Intelligence m/f/d
Core
Lead Data Scientist creating market-leading predictive models and interactive analytics for chemical commodity markets (supply, demand, trade, prices) to support trading and scenario planning.
Role type
Senior IC Lead Data Scientist (Quantitative Analyst)
Builds
Predictive market models, interactive analytics tools, and decision support platforms for global commodity supply networks.
Domain
Energy, petrochemicals, and fertilizer industries (Chemicals, recycling materials).
Deliverable
production ML models
Required skills
Predictive modelling, Python, SQL, Data modelling, Data visualization, Software development (modularisation, versioning, testing), Containerization (Docker), Orchestration (Airflow), Scenario modelling, Marginal supply cost curves.
Preferred skills
Chemical industry knowledge, Databricks, Snowflake.
Responsibilities
Co-develop quantitative market models (demand, supply, storage, trade, price forecasting); Guide and project-manage data scientists; Connect and clean diverse datasets; Create interactive analytics tools; Discuss models and market insights with customers; Implement framework enhancements.
Seniority
Senior, hands-on IC with people management potential.
