Build production machine learning models as a Manager, Data Scientist at Rogers in Toronto, using Python, Spark, Azure, and Databricks onsite. Own analytics influencing millions of customer interactions.This experienced individual contributor role spans the complete model development lifecycle. You will define business problems, engineer features, deploy models, and monitor performance.

The work supports acquisition, retention, and lifecycle marketing through advanced analytics, experimentation, and predictive modeling.Key Responsibilities: Design, validate, deploy, and monitor production machine learning modelsPerform feature engineering, model selection, tuning,



and evaluationTranslate business objectives into analytical approaches and success metricsCollaborate with Data Engineering and MLOps on operationalizationExplore Generative AI and large language models for business valueRequirements: Five to eight years in data science, machine learning, or applied AIStrong Python, SQL, and Spark programming skillsProduction experience developing and deploying machine learning modelsKnowledge of experimentation, statistical analysis, and predictive modelingAzure and Databricks experience strongly preferredBring production modeling, stakeholder partnership, and advanced analytics expertise to Rogers as a Toronto-based Data Scientist Manager.

📌 Manager Data Scientist Machine Learning (Winnipeg)
🏢 Rogers communications
📍 Winnipeg