Gravity Engineering Services
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Manager, Data Science Bmo Financial Group Toronto
Description
Key Responsibilities
Design, develop, and deploy machine learning and deep learning models on large structured and unstructured datasets. Architect and optimize big data pipelines and data modeling processes to support scalable analytics solutions. Collaborate with cross‑functional teams to translate business requirements into predictive models and actionable insights. Lead model validation, performance monitoring, and continuous improvement initiatives. Mentor junior data scientists and promote best practices in data science and AI. Requirements
Proven experience building production‑grade ML/DL models using Python and related libraries. Robust background in big data technologies (e.g., Hadoop, Spark, Databricks). Deep understanding of AI concepts and their application to business problems. Excellent communication skills and ability to work in a hybrid setting. Experience with data modeling, predictive analytics, and model deployment.
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Design, develop, and deploy machine learning and deep learning models on large structured and unstructured datasets. Architect and optimize big data pipelines and data modeling processes to support scalable analytics solutions. Collaborate with cross‑functional teams to translate business requirements into predictive models and actionable insights. Lead model validation, performance monitoring, and continuous improvement initiatives. Mentor junior data scientists and promote best practices in data science and AI. Requirements
Proven experience building production‑grade ML/DL models using Python and related libraries. Robust background in big data technologies (e.g., Hadoop, Spark, Databricks). Deep understanding of AI concepts and their application to business problems. Excellent communication skills and ability to work in a hybrid setting. Experience with data modeling, predictive analytics, and model deployment.
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