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.#J-18808-Ljbffr

📌 Demand Forecasting Applied Scientist (Quebec City)
🏢 Kinaxis
📍 Quebec City