As of November 7, 2026, Jobsy lists 5 staff data scientist jobs in Toronto, ON. The most active employers are Fetch, Reddit and Royal Bank of Canada. Skills often requested: python, sql, communication skills and statistics.
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5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering skills. Git and GitHub experience and strong communication are also required.
5+ YOECandidates need deep machine learning and deep learning skills, experience running ML systems in production, and strong advanced Python and software engineering fundamentals. Git and GitHub experience and strong communication skills are required.
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 experience with late labels, sparse data and drift, are required.
7+ YOECandidates need 7+ years of applied data science or machine learning experience at internet scale, with strong statistical skills in classification, prediction and time series models. They need expert Python skills (pandas, NumPy, scikit-learn) and a bachelor's or master's in a quantitative field.
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.