Transform supply chain analytics at IPEX in Oakville as a Hybrid Machine Learning Scientist. Focus on model development for demand forecasting and optimization within a fast-paced environment. This role requires applied machine learning expertise to create and validate solutions that support supply chain decisions.

You will engage in end-to-end projects, from data preparation in Python and SQL to presenting insights derived from your modeling work. Collaboration with departments like Supply Chain and IT is essential to ensure models are actionable and meet operational needs. Key Responsibilities:

- Design and refine demand forecasting models
- Perform feature engineering and structured experimentation




- Build maintainable data workflows with version control
- Translate model results into business strategies
- Partner with stakeholders for objective alignment Requirements:
- Master’s degree or equivalent experience in a related field
- At least three years of practical machine learning experience
- Proficient in Python, SQL, and statistical analysis
- Solid foundational knowledge in modeling techniques
- Ability to communicate findings publicly Utilize your machine learning and analytics skills to shape the operational future at IPEX.

📌 Hybrid Machine Learning Scientist Role (Oakville)
🏢 Axis Communications
📍 Oakville