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 casesConduct exploratory analysis to identify patterns, trends, and opportunitiesTranslate business problems into analytical approaches, hypotheses, and success measuresValidate performance and communicate assumptions, limitations, and resultsOperationalize successful models with engineering and technology teamsRequirements:
Degree in a quantitative field or equivalent experienceSignificant experience in data science, analytics, or machine learningStrong Python, SQL, statistical analysis, and machine learning proficiencyExperience validating models with real-world enterprise dataExperience with Azure Machine Learning and modern cloud analytics environmentsBring predictive modelling, statistical analysis, and Python expertise to Metrolinx’s enterprise analytics work in Toronto’s hybrid environment.
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