- Employment type
- Full-time · On-site
- Posted
- September 17, 2026
- Salary range
- $208,000–$228,800 CAD per year
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 67/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. VDart Inc is hiring for this full-time 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
Median $103,730 per year, with most postings between $103,730 and $156,000 (Data scientists, 2026-05, 37 postings). This posting advertises $208,000–$228,800.
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:
- Machine Learning
- Generative AI
- LLMOps
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Design and develop production-grade Machine Learning solutions
- Design and develop Generative AI solutions
- Build intelligent systems with predictive ML models
- Manage complete model lifecycle
- Deploy scalable production-grade machine learning solutions
- Deploy scalable generative AI solutions
What you'll need
- Expertise in GenAI and LLMOps
- MLOps experience
- Ability to design and develop production-grade solutions
- Model lifecycle management knowledge
- Full-time availability
- Ability to work hybrid (2-3 days onsite in Mississauga, ON)