Become a pivotal part of CSC Generation's team in Toronto as a Machine Learning Engineer with a focus on decision systems. This hybrid role emphasizes the creation of systems that optimize retail operations. Reporting to the CTO, you will help in building closed-loop systems that rely on machine learning to make intelligent decisions in pricing and inventory management.

You’ll explore causal inference, uncertainty measures, and various machine learning techniques to ensure our brands operate more effectively. Your work directly influences economic performance across our portfolio. Key Responsibilities:
Design and implement causal modeling and evaluation systems
Engage with advanced uncertainty estimation algorithms




Optimize decisions using contextual bandits
Oversee production ML infrastructure and deployment pipelines
Drive experimentation to assess system effectiveness Requirements:
Solid experience in machine learning or statistical analysis
Familiarity with causal inference and experimental design
Expertise in Python, SQL, and data handling
Background in producing real-world decision systems
Robust quantitative and analytical skills Contribute to the cutting edge of machine learning in retail at CSC Generation in Toronto.

📌 Machine Learning Engineer Decision Systems Focus Toronto
🏢 Csc Generation Enterprise
📍 Toronto