As of November 7, 2026, Jobsy lists 7 lead data scientist jobs in Mississauga, ON. The most active employers are Royal Bank of Canada, Citi and Mastercard. Skills often requested: python, computer science, sql and statistics.
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6+ YOECandidates need six or more years of data science, machine learning or AI experience, with enterprise implementation and production deployment experience. Advanced Python and SQL skills, and a master's or PhD in a quantitative field, are required, with a bachelor's and substantial experience also considered.
6+ YOECandidates need six or more years of data science, machine learning or AI experience, with enterprise implementation and production deployment experience. Advanced Python and SQL skills, and a master's or PhD in a quantitative field, are required, with a bachelor's and substantial experience also considered.
6+ YOECandidates need six or more years of data science, machine learning or AI experience, including enterprise implementation. Strong Python and SQL skills, generative AI and RAG experience, and knowledge of responsible AI and governance are required.
6+ YOECandidates need six or more years of data science or AI implementation experience, advanced Python and SQL skills, and experience taking models into production. A master's or PhD in a quantitative field is preferred, and a bachelor's with strong implementation experience may be considered.
6+ YOECandidates need six or more years in data science, machine learning or AI implementation, strong Python and SQL, and experience taking solutions into production. A master's degree in a quantitative field is preferred, and experience in regulated environments is an asset.
6+ YOECandidates need six or more years in data science, machine learning or AI implementation, strong Python and SQL, and experience taking solutions into production. A master's degree in a quantitative field is preferred, and experience in regulated environments is an asset.
5+ YOECandidates need 5+ years of applied data science with measurable business impact, including models that drove paid media decisions such as spend, bidding or ad serving. Expert Python and SQL, and deep understanding of the models they have built, are required.