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.

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