Apply optimization and machine learning to large-scale supply chain decision systems as a Senior Data Scientist working under the Data Science Lead. This hands-on role develops scalable analytical models for routing, scheduling, and resource allocation. You will connect business requirements with data science solutions using MILP, heuristics, predictive modeling, and feature engineering. The work supports reliable operational decisions. Key Responsibilities:

Develop optimization models for routing, scheduling, and resource allocation Apply machine learning to generate optimization model inputs Translate business requirements into structured analytical problems Diagnose infeasibility, bottlenecks, and data inconsistencies Maintain Python and SQL data workflows Requirements:

Eight-plus years in data science or operations research Hands-on optimization and machine learning experience Proficiency in Python and SQL Experience with Gurobi optimization solvers Ability to communicate with technical and business stakeholders Build scalable decision systems through optimization, machine learning, Python, SQL, and effective stakeholder communication.

📌 Senior Optimization Data Scientist (Winnipeg)
🏢 TechBlocks
📍 Winnipeg