Machine-learning research and forecasting science anchor this Senior Staff Applied Scientist role with Kinaxis in Canada. Ottawa and Toronto positions are hybrid; other Canadian locations are remote.

You will lead scientific direction for a forecasting platform serving enterprise customers worldwide. The role combines hands-on research with technical guidance across engineering and data science. Focus areas include probabilistic methods, explainability, pretrained models, and production-scale evaluation.

Key Responsibilities:

- Translate complex business goals into clear machine-learning problems
- Review designs and strengthen scientific judgment across teams
- Advance probabilistic, pretrained, and explainable forecasting
- Set benchmarks, accuracy metrics,



and validation standards
- Partner on scalable data and machine-learning architecture

Requirements:

- Master's degree in computer science, statistics, or related field
- Ph.D. preferred with deep forecasting expertise
- Robust software-engineering practices and Python proficiency
- Experience productizing research and proofs of concept
- Strong written and verbal technical communication

Shape Kinaxis forecasting research through applied machine learning, reproducibility, explainability, and enterprise-scale scientific standards.

📌 Forecasting Machine Learning Research Lead (Quebec City)
🏢 Kinaxis
📍 Quebec City