- Employment type
- Contract · On-site
- Posted
- November 9, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Bevertec is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Data Scientist in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Azure Machine Learning
- Microsoft Foundry
- Azure AI Foundry
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What you'll do
- Develop and deploy machine learning models
- Implement MLOps practices and CI/CD pipelines
- Monitor and maintain model performance and observability
- Automate machine learning workflows
- Build and manage APIs for model serving
- Work with containerized applications
What you'll need
- Advanced hands-on experience with Azure Machine Learning
- Advanced hands-on experience with Microsoft Foundry (Azure AI Foundry)
- Advanced hands-on experience with MLOps including CI/CD, containers, APIs, automation, model deployment, monitoring, and observability
- Strong Python skills
- Strong Machine Learning Engineering skills
- Demonstrated experience taking ML models from experimentation into production
- Ability to work hybrid (3 days onsite per week in Toronto)