The main task is to develop and improve the models of long -term forecasting fertilizers.
The work includes an analysis of historical data (prices for fertilizers, products, energy resources, foreign exchange rates, etc.), identifying key factors affecting prices, testing and comparing various approaches to forecasting. interpreted and business-oriented forecast system, which will become a full-fledged product for using the company's key stakeholders when making strategic decisions.
the candidate will work in a close conjunction with a data engineer for organizing data and building an efficient pikeda, as well as interact with the market experts to enrich models with additional features.
experience and experience and experience and experience and experience and experience and experience and experience and experience and experience and experience. Education:
Higher education or training at the latest magistrates/graduate schools in mathematics, statistics, economics, Data Science or related disciplines.
are ready to consider graduates or graduate students with strong academic background and interest in applied forecasting.
Practical experience of using forecasted Models are welcome, but not obligatory.
Soft Skills:
The ability to clearly represent forecasts in a business-oriented form (reports, visualization, presentation). Reports). (Airflow, Prefect, MLFLOW).
industry knowledge:
Knowledge of the Commoditi markets
Other pluses:
Experience in the development of product solutions based on models (dashboards, interfaces for stakeholders).
Visualization of data (Power Bi, Tableau)
For the details in the PM
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