Transform Data into Actionable Insights as a Data Scientist II
mount royal, montreal (administrative region), Canada • Posted May 26, 2026
Job Type:
Full-time
Location:
mount royal, montreal (administrative region)
Posted:
May 26, 2026
Category:
Other-General
Application Deadline:
July 05, 2026
Role Description
Drive impactful data solutions with cutting-edge techniques in a fast-paced, collaborative environment. As a Data Scientist II, you'll contribute to impactful demand forecasting and recommendation engines.
In this pivotal role, you will harness your skills to design and build advanced data models for production use. With a focus on collaboration, you’ll partner with engineers and data scientists to address real business challenges through structured and unstructured data in the cloud. Key responsibilities include developing scalable pipelines and establishing best practices across the organization.
Key Responsibilities:
• Design advanced data models and scalable production pipelines
• Collaborate with teams to leverage cloud data solutions
• Write efficient, high-quality Python and PySpark code
• Develop and deploy models using AWS or GCP
• Build end-to-end ML pipelines from data prep to monitoring
Requirements:
• Degree in Computer Science or related field
In this pivotal role, you will harness your skills to design and build advanced data models for production use. With a focus on collaboration, you’ll partner with engineers and data scientists to address real business challenges through structured and unstructured data in the cloud. Key responsibilities include developing scalable pipelines and establishing best practices across the organization.
Key Responsibilities:
• Design advanced data models and scalable production pipelines
• Collaborate with teams to leverage cloud data solutions
• Write efficient, high-quality Python and PySpark code
• Develop and deploy models using AWS or GCP
• Build end-to-end ML pipelines from data prep to monitoring
Requirements:
• Degree in Computer Science or related field
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