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 criteria
- Guide classical, probabilistic, machine-learning, and pretrained forecasting approaches
- Establish metrics, benchmarks, backtesting, and quality gates
- Shape architecture supporting millions of daily forecast series
- Explain scientific trade-offs to technical and executive audiences
Requirements:
- Deep hands-on time-series or demand forecasting expertise
- Knowledge of hierarchical, intermittent, probabilistic, and quantile forecasting
- Master's degree; Ph.D. preferred in a quantitative field
- 8+ years developing complex machine-learning solutions in Python
- Experience moving research into measurable production systems
Apply scientific leadership, forecasting rigor, Python, and scalable machine learning to Kinaxis demand forecasting.
Senior Staff Time Series Scientist in Alton employer: Kinaxis
At Kinaxis, we pride ourselves on fostering a vibrant work culture that prioritizes innovation and collaboration, making it an exceptional place for Software Architects to thrive. With our headquarters in Ottawa, Canada, we offer flexible work options, mentorship programs, and a commitment to employee well-being, ensuring that you can grow your career while contributing to meaningful projects that impact global supply chains. Join us and be part of a team that values diversity, sustainability, and the pursuit of excellence.
