Time-series and demand forecasting expertise drives this Senior Staff Applied Scientist role at Kinaxis. Work hybrid in Ottawa or Toronto, or remotely elsewhere in Canada.As a senior individual contributor, you will set scientific direction for Kinaxis forecasting. You will define research priorities, establish technical standards, and guide engineering and data-science teams. Your work will support accurate, explainable forecasting at enterprise scale.Key Responsibilities: Define research roadmaps and measurable machine-learning success criteriaGuide classical, probabilistic, machine-learning, and pretrained forecasting approachesEstablish metrics, benchmarks, backtesting,



and quality gatesShape architecture supporting millions of daily forecast seriesExplain scientific trade-offs to technical and executive audiencesRequirements: Deep hands-on time-series or demand forecasting expertiseKnowledge of hierarchical, intermittent, probabilistic, and quantile forecastingMaster's degree; Ph. D. preferred in a quantitative field8+ years developing complex machine-learning solutions in PythonExperience moving research into measurable production systemsApply scientific leadership, forecasting rigor, Python, and scalable machine learning to Kinaxis demand forecasting.#J-18808-Ljbffr

📌 Senior Staff Time Series Scientist (Quebec City)
🏢 Kinaxis
📍 Quebec City