We are seeking a highly experienced Data Science to drive the development and deployment of advanced analytical solutions in the supply chain domain.
The ideal candidate will have a strong background in statistical and machine learning techniques, with a particular focus on time series forecasting.ResponsibilitiesDesign, implement, and maintain production‐level statistical and machine learning models, with emphasis on time series forecasting and supply chain applications (demand planning a plus).
Develop reusable analytical toolkits and frameworks to accelerate modeling efforts across the organization.Perform ETL, data wrangling, and feature engineering to prepare high‐quality datasets for modeling.Apply supervised and unsupervised learning techniques (Random Forest, Decision Trees, XGBoost, LightGBM, ARIMA, ARIMAX, Holt‐Winters, regression, hypothesis testing, etc.) to solve complex business problems; deep learning experience is a plus.Ensure model explainability and commun...