Senior Data Scientist || Toronto, ON - Hybrid || Fulltime FTE
- Employment type
- Full-time · On-site
- Posted
- September 28, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
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. Acestack 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 does not state a salary.
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
- Statistical Modeling
- Predictive Analytics
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What you'll do
- Support AI Center of Excellence (AI CoE) initiatives
- Lead Machine Learning projects
- Lead Data Science initiatives
- Develop and implement statistical models
- Build predictive analytics solutions
- Design and conduct experiments
- Solve complex data-driven problems
What you'll need
- Strong hands-on experience in applied machine learning
- Expertise in statistical modeling
- Proficiency in predictive analytics
- Experience with experimentation and A/B testing
- Data-driven problem solving skills
- Located in or willing to work in Toronto, ON
- Available for hybrid work arrangement