Senior Staff Applied Scientist, Time Series & Demand Forecasting
KinaxisAbout Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you! In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers. Location Ottawa and Toronto, Canada - Hybrid Other Canadian locations - Remote About The Team Our AI team develops machine-learning solutions across forecasting, segmentation, explainability, and optimization for industries including Consumer Packaged Goods, Retail, and Life Sciences. We combine rigorous science with real business problems, and our work is deployed to enterprise customers worldwide. Demand forecasting is central to the Kinaxis platform. We are building a dedicated data-science and AI research engine to deliver forecasting that is accurate, self-calibrating, explainable, and cost-effective at enterprise scale. About The Role We are seeking a Senior Staff Applied Scientist with deep expertise in time-series and demand forecasting to set the scientific direction for our forecasting platform. This is a hands-on senior individual-contributor role with no direct reports. You will define the science, establish technical standards, and guide multiple engineering and data-science teams to deliver the roadmap. You will own the scientific strategy and measurement framework used to improve forecasting accuracy, robustness, and credibility. You will also influence long-term technical direction as the platform scales to millions of series and daily forecasting. Vacancy Status This is an existing job vacancy What you will do Set the forecasting science agenda. Define the research roadmap and translate complex business goals into clear ML problems, measurable success criteria, and technical priorities. Lead through influence. Provide technical direction, mentor senior scientists and ML engineers, review designs, and strengthen scientific judgment across teams. Advance forecasting capabilities. Guide evaluation and development across classical time-series, machine- learning, probabilistic, and pretrained forecasting approaches, including hierarchical and intermittent demand, covariates, cold starts, segmentation, explainability, and domain adaptation. Establish scientific rigor. Define accuracy metrics, benchmarks, quality gates, backtesting standards, and reproducible experiment-to-validation practices. Shape architecture for scale. Partner with architects, MLOps, and platform and data-infrastructure teams to ensure solutions can support millions of series and daily forecasting. Communicate and align. Explain scientific trade-offs to technical and executive audiences and build alignment across accuracy, scalability, cost, operational simplicity, and commercial priorities. What Success Looks Like Within six months, a fixed and reproducible accuracy benchmark is in place, teams…