Senior Data Scientist - Commodity Intelligence m/f/d
Core
Building predictive market models and interactive analytics for prices, supply, demand, and trade in global commodity markets (chemicals, petrochemicals, recycling) 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
predictive modelling, Python, SQL, data modelling, data transformation, data visualization, software development, containerization, orchestration, scenario modelling, marginal supply cost curves
Preferred skills
chemical industry knowledge, Databricks, Snowflake
Technologies
Python, Dash, Plotly, GIT, Docker, Airflow, Data Lakehouse
Responsibilities
Co-develop quantitative market models (demand, supply, storage, trade, price forecasting); clean and impute diverse datasets; create interactive analytics and decision support tools; discuss models and market drivers with customers; manage own projects and guide peers in model development
Seniority
Senior, hands-on IC
