Top Data & Analytics Jobs in Toronto, ON

Lead the ML Engineering group, implement machine learning algorithms, work with data engineers and data scientists to develop data and model pipelines, improve existing ML models, and write production-level code. Collaborate with the Data Science team to develop ML models and ensure model operations.

This role focuses on data analysis in supply chain operations, driving efficiencies, and managing key orders for Kraft Heinz. Responsibilities include conducting data analysis, managing master data, and collaborating with customers on supply chain systems. A Bachelor's degree and 3-7 years of experience are required, along with proficiency in Microsoft Office and preferred understanding of SAP and technology tools like Tableau Prep, SQL, and Python.

This role involves delivering key customer and internal supply chain targets, conducting data analysis to identify inefficiencies, managing key orders, and providing customer support. The role requires 3-7 years of experience and proficiency in Microsoft Office, SAP, and data analysis tools like Tableau Prep, SQL, and Python.