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