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 problemsReview designs and strengthen scientific judgment across teamsAdvance probabilistic, pretrained, and explainable forecastingSet benchmarks, accuracy metrics,



and validation standardsPartner on scalable data and machine-learning architectureRequirements:
Master's degree in computer science, statistics, or related fieldPh.
D. preferred with deep forecasting expertiseStrong software-engineering practices and Python proficiencyExperience productizing research and proofs of conceptStrong written and verbal technical communicationShape Kinaxis forecasting research through applied machine learning, reproducibility, explainability, and enterprise-scale scientific standards.
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📌 Forecasting Machine Learning Research Lead (Winnipeg)
🏢 Kinaxis
📍 Winnipeg