Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics m/f/d
Core
Building predictive market models and interactive analytics for global commodity trade, shipping, and logistics to support trading and scenario planning.
Role type
Senior IC quantitative data scientist (commodity markets)
Builds
Forecast models, predictive data, and interactive analytical tooling for trading and scenario planning
Domain
Energy, petrochemical, and fertilizer industries; global commodity markets
Deliverable
production ML models
Required skills
Python, SQL, mathematical optimization (linear programming, convex optimization), data modeling, data transformation, data visualization, software development (modularization, versioning, testing), containerization (Docker), orchestration (Airflow)
Preferred skills
Chemical industry knowledge, Databricks, Snowflake, optimization libraries (Pyomo, SciPy, Gurobi/CPLEX)
Technologies
Python, Dash, Plotly, Databricks, Snowflake, GIT, Docker, Airflow, Pyomo, SciPy, Gurobi, CPLEX
Responsibilities
Co-develop quantitative market models (demand, supply, storage, trade, transport, market balance, price forecasting); clean and impute freight, pricing, and supply/demand datasets; create interactive analytics and decision support tools; discuss models with customers and translate domain knowledge into models; productionize models and integrate new data sources; guide peers in model development
Seniority
Senior, hands-on IC
