Demand forecasting and machine-learning rigor define this Senior Staff Applied Scientist opportunity at Kinaxis. Canadian locations offer hybrid or remote work arrangements.
This hands-on individual-contributor role owns scientific strategy for forecasting across enterprise supply-chain applications. You will translate business goals into machine-learning problems, mentor senior specialists, and strengthen evaluation practices. The platform must support millions of series and daily forecasts.

Key Responsibilities

Set forecasting science agendas and technical prioritiesMentor senior scientists and machine-learning engineersEvaluate hierarchical, intermittent, and domain-adapted forecastingDefine reproducible experiment-to-validation practicesAlign accuracy, scale, cost,



and commercial prioritiesRequirements:
Expertise in statistical, contemporary machine-learning, and deep-learning methodsStrong knowledge of calibration, uncertainty, covariates, and evaluation8+ years testing, debugging, and optimizing Python machine-learning solutionsProficiency with Spark, GCP or Azure, containers, and distributed computingAbility to influence roadmaps across multiple teamsBring demand forecasting depth, scientific judgment, and cross-team influence to Kinaxis's machine-learning platform.
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📌 Demand Forecasting Applied Scientist (Winnipeg)
🏢 Kinaxis
📍 Winnipeg