Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization.
Formulate hypotheses and test them using math, statistics, visualization and predictive modeling.
Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and underscoring implications.
Coordinate with other technical/functional teams to implement models and monitor results.
Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making.
Requirements
5+ years of experience in Supply Chain Planning, Demand Planning, Supply Planning, or IBP/SOE roles.
Fluency in English is required for effective regional interaction.
Practica...
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