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 setting.

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📌 Senior Data Scientist Predictive Modeling (Ontario)
🏢 S M Software Solutions
📍 Ontario