Supply Chain Analytics Data Scientist

Turn procurement and supplier data into actionable insights using advanced analytics, machine learning, and enterprise data platforms. Work hybrid from Calgary, Edmonton, or North York on a 12-month contract with possible extension.This experienced Data Scientist supports Supply Chain Management Data, Innovation & Analytics through measurable business value. The assignment blends statistical analysis, predictive modeling, data visualization, and process optimization. Solutions will address spend visibility, supplier performance, procurement decisions, and complex structured or unstructured SCM information.Key Responsibilities:
Analyze Supply Chain challenges across procurement and operationsApply forecasting, classification, anomaly detection, and text analyticsExtract insights from purchase orders and supplier communicationsDevelop governed products for reporting and predictive insightsDefine requirements and communicate outcomes to stakeholdersRequirements:
Five to seven years in analytics, data science, or SCMBachelor’s degree in data science, commerce, engineering, or related fieldAdvanced statistical analysis, predictive modeling, machine learning, and visualizationExperience with enterprise data platforms and advanced SQLDeep Source-to-Pay, Procure-to-Pay, and supplier management knowledgeBring Supply Chain knowledge and advanced analytics skills to improve procurement decisions through governed, actionable data products.
#J-18808-Ljbffr