Senior Data Scientist Predictive Modeling

Use Python and machine learning to build predictive models for Metrolinx in Toronto, with a hybrid schedule requiring three onsite days weekly. This contract Senior Data Scientist develops advanced analytics and AI-driven insights from enterprise data. The work includes statistical analysis, predictive modelling, model validation, and business-value assessment. You will use Python, SQL, Azure Machine Learning, and Microsoft Foundry to address priority business opportunities and operationalize successful solutions. Key Responsibilities:

Design advanced analytics and predictive models for priority business use cases Conduct exploratory analysis to identify patterns, trends, and opportunities Translate business problems into analytical approaches, hypotheses, and success measures Validate performance and communicate assumptions, limitations, and results Operationalize successful models with engineering and technology teams Requirements:

Degree in a quantitative field or equivalent experience Significant experience in data science, analytics, or machine learning Strong Python, SQL, statistical analysis, and machine learning proficiency Experience validating models with real-world enterprise data Experience with Azure Machine Learning and modern cloud analytics environments Bring predictive modelling, statistical analysis, and Python expertise to Metrolinx’s enterprise analytics work in Toronto’s hybrid environment.

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