- 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
- Lead and mentor a team of data scientists
- Develop and implement advanced machine learning models
- Drive data science strategy and roadmap
- Collaborate with cross-functional teams on complex business problems
- Oversee data quality and governance initiatives
- Present insights and recommendations to senior leadership
- Foster innovation and best practices within the team
What you'll need
- Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field
- 7+ years of data science and machine learning experience
- Proven track record of leading and mentoring data science teams
- Experience with large-scale datasets and distributed computing
- Strong programming skills in Python, R, or Scala
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of financial services or payments industry preferred