Sr. Data Scientist, Business Analytics
- Employment type
- Full-time · On-site
- Posted
- September 25, 2026
- Salary range
- $168,300–$217,800 CAD per year
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 56/100
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. Thumbtack 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 $168,300–$217,800.
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:
- Data Science
- Business Analytics
- Statistical Analysis
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What you'll do
- Drive business insights through data analysis
- Develop and implement analytics solutions
- Build predictive models and machine learning solutions
- Collaborate with cross-functional teams to identify business opportunities
- Present findings and recommendations to stakeholders
- Design and conduct A/B tests and experiments
What you'll need
- Senior-level experience in data science or business analytics
- Proficiency in statistical analysis and programming languages
- Experience with data visualization tools
- Strong analytical and problem-solving skills
- Experience with large datasets and databases