Data Scientist Jobs in Canada
Akkodis CA
Toronto, ON
The successful candidate will work on real-world data platform implementations, contributing to pipeline automation, data visualization, and technical knowledge sharing. The Client is seeking a Senior Data Science Developer to support the development of end-to-end analytics solutions using the Microsoft Azure ecosystem.
Akkodis CA
Etobicoke, ON
Comprehensive Total Rewards Program including bonuses, flexible benefits from day one, and your choice of a health spending account (HSA) or personal spending account (PSA). Develop tools and processes to monitor model performance in production and support collaboration with data scientists and business leads.
Sanofi
Toronto, ON
Oversee the support and coordination of third-party multi-omics tools, including Qiagen ArrayStudio/Lands, Ingenuity Pathway Analysis, and Bioturing, ensuring their integration and continued functionality within our research infrastructure while maintaining a robust CI/CD pipelines using GitHub Actions to manage upgrades and deployments efficiently. AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
Sanofi
Toronto, ON
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. These include data products built from source data from electronic lab notebook technologies in domains such as in vitro small and large molecule screens, next generation sequencing, proteomics, and digital pathology source systems.
Sanofi
Toronto, ON
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. .
Sanofi
Toronto, ON
You will manage and oversee Product Owners within your specific product line throughout the delivery of the products from ideation and execution through run and scale, overseeing the development and lifecycle management of your portfolio of products, ensuring alignment with R&D business goals and user needs. Collaborating closely with scientific and technical teams, you will define the vision, strategy, and roadmap for a suite of AI/ML products that empower scientists with predictive insights—enhancing target discovery, molecule generation, mechanism of action prediction, and early safety assessment.
Sanofi
Toronto, ON
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. .
Sanofi
Toronto, ON
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. .
CA-Procom
Richmond, BC
As an MLOps Engineer, you will work closely with cross-functional teams including Data Scientists, Data Engineers, Cloud Ops Engineers, Solution Architects to integrate MLOps to design, build, maintain, and implement scalable machine learning pipelines and deployment solutions that create robust, secure, and production-ready analytical tools. You will also be responsible in the adoption of MLOps best practices, including unit test, drift detection and monitoring capabilities, and implementing, optimizing, and maintaining ML models within Azure DevOps, Azure Machine Learning, and related cloud infrastructure.