- Employment type
- Full-time · On-site
- Posted
- September 20, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 22/100
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
- Lead and manage a team of data scientists and analysts
- Develop data science strategy aligned with business objectives
- Oversee end-to-end data science projects from conception to deployment
- Drive innovation in machine learning and advanced analytics
- Collaborate with cross-functional teams including engineering and product
- Mentor and develop team members
- Ensure data governance and compliance standards are met
- Report on key metrics and insights to senior leadership
What you'll need
- Advanced degree in quantitative field (Statistics, Mathematics, Computer Science, Physics, or equivalent)
- 10+ years of experience in data science or analytics
- 5+ years of leadership experience managing data science teams
- Proven track record of delivering enterprise-scale data science solutions
- Strong knowledge of machine learning algorithms and statistical methods
- Experience with large-scale data processing and cloud platforms
- Understanding of financial services or payments industry preferred