Description
The role focuses on demand forecasting using Python, PySpark, regression and time-series models, and machine learning techniques such as LightGBM, XGBoost, ETS, and ARIMA. It requires strong SQL, data visualization, cloud-platform, and model-evaluation skills, along with the ability to communicate insights to business and technical teams and collaborate with Data Engineering, Technology, Product, and Supply Chain teams. The posting also lists optional MLOps, production forecasting pipelines, real-time analytics, and optimization experience.
