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 Strong software-engineering practices and Python proficiency Experience productizing research and proofs of concept Robust written and verbal technical communication Shape Kinaxis forecasting research through applied machine learning, reproducibility, explainability, and enterprise-scale scientific standards. #J-18808-Ljbffr

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