- Employment type
- Full-time · On-site
- Posted
- September 12, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 7/100
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. OpenTable 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
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:
- Machine Learning
- Python
- Data Science
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
- Develop and deploy machine learning models
- Design and implement ML solutions for restaurant and diner platforms
- Collaborate with cross-functional teams on technology initiatives
- Contribute to system architecture and technical strategy
- Mentor junior engineers
- Drive ML innovation across OpenTable's platforms
What you'll need
- Hybrid work arrangement (2 days per week in office)
- Advanced machine learning expertise
- Strong software engineering fundamentals
- Experience with large-scale systems
- Proficiency in relevant ML frameworks and tools