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.

• Analyze Supply Chain challenges across procurement and operations
• Apply forecasting, classification, anomaly detection, and text analytics
• Extract insights from purchase orders and supplier communications
• Develop governed products for reporting and predictive insights
• Define requirements and communicate outcomes to stakeholders

• Five to seven years in analytics, data science, or SCM
• Bachelor’s degree in data science, commerce, engineering, or related field
• Advanced statistical analysis, predictive modeling, machine learning, and visualization
• Experience with enterprise data platforms and advanced SQL
• Deep Source-to-Pay, Procure-to-Pay, and supplier management knowledge

Bring Supply Chain knowledge and advanced analytics skills to improve procurement decisions through governed, actionable data products.