techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve
in Logistics / Industrial Engineering / Operational Research Previous experience: Minimum 3 years of
quantitative fields like Mathematics, Statistics, Operational Research, Economics, or equivalent industry training
in Logistics / Industrial Engineering / Operational Research At least 3 year experience in route scheduling
in Logistics / Industrial Engineering / Operational Research Previous experience: Minimum 3 years of
discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Masters degree preferable) discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Masters degree preferable)
discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Masters degree preferable) discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Masters degree preferable)
Obtain a thorough understanding of the operating environment – research applicable laws, regulations, policies
Obtain a thorough understanding of the operating environment – research applicable laws, regulations, policies
abilities. Understanding of machine learning and operations research. Knowledge of R and Python Critical thinking