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 transparent 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
Solid written and verbal technical communication

Shape Kinaxis forecasting research through applied machine learning, reproducibility, explainability, and enterprise-scale scientific standards.
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📌 Forecasting Machine Learning Research Lead Quebec City
🏢 Kinaxis
📍 Quebec City