We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms.<br><br>Responsibilities:<br>• Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis.<br>• Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities.<br>• Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results.<br>• Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes.<br>• Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning.<br>• Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs.<br>• Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format.<br>• Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.

• 5+ years of experience in data science, statistical analysis, or a closely related analytical role.<br>• Strong hands-on experience with Python for data analysis, modelling, and experimentation.<br>• Solid understanding of statistical modelling concepts and the ability to apply them to business problems.<br>• Practical exposure to machine learning methods, with the ability to support model development and evaluation.<br>• Experience working with Jupyter notebooks as part of an analytical development workflow.<br>• Proficiency with Alteryx for data preparation, transformation, or analytical support.<br>• Familiarity with low-code BI tools for reporting, visualization, or insight delivery.<br>• Ability to interpret complex datasets and communicate findings clearly to technical and non-technical audiences.

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