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Machine Learning Data Scientist Position
Penguin Random House Canada Limited
Full-time
toronto, on
IT & Technology
Posted:
June 14, 2026
Location:
toronto, on, Canada
Job Description
Enhance your career at Penguin Random House Canada as a Data Scientist, specializing in machine learning. This role, based in Toronto, offers a chance to make significant contributions while working in the literary world.
As part of the insights & analytics team, you will tackle complex analytical problems, turning data into actionable insights that influence strategic decisions. Your work will directly impact the connection between readers and authors, enhancing the overall reading experience through informed recommendations. Collaboration and innovation are at the core of this role.
Key Responsibilities:
• Design, build, and monitor machine learning models
• Identify trends and opportunities within large data sets
• Clearly communicate results and strategies to stakeholders
• Create user-friendly dashboards and self-service tools
• Collaborate with cross-functional teams for optimal solutions
Requirements:
• Relevant degree in Statistics, Engineering, or re...
As part of the insights & analytics team, you will tackle complex analytical problems, turning data into actionable insights that influence strategic decisions. Your work will directly impact the connection between readers and authors, enhancing the overall reading experience through informed recommendations. Collaboration and innovation are at the core of this role.
Key Responsibilities:
• Design, build, and monitor machine learning models
• Identify trends and opportunities within large data sets
• Clearly communicate results and strategies to stakeholders
• Create user-friendly dashboards and self-service tools
• Collaborate with cross-functional teams for optimal solutions
Requirements:
• Relevant degree in Statistics, Engineering, or re...
Apply for this Job
Submit your application for the Machine Learning Data Scientist Position position at Penguin Random House Canada Limited.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 14, 2026
Deadline:
July 24, 2026