- 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. Mastercard 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:
- Data Science
- Machine Learning
- Statistical Analysis
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What you'll do
- Develop and deploy machine learning models
- Analyze complex datasets to derive business insights
- Collaborate with cross-functional teams
- Create data visualizations and reports
- Support field operations with data-driven solutions
- Monitor model performance and optimize algorithms
- Present findings to stakeholders
What you'll need
- Experience in data science or related field
- Proficiency in programming languages (Python, R, or similar)
- Strong statistical and analytical skills
- Experience with machine learning algorithms
- Knowledge of SQL and data manipulation
- Ability to work with large datasets
- Understanding of financial services or payments industry preferred