Data Scientist Salary in Canada

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Scientist Earn in Canada?

Expect a spread rather than a single number: the 25th percentile sits at CA$133,000, the median at CA$158,000, and the 75th percentile at CA$191,000. Employers at the top of the range are typically larger firms and specialized practices. Remote work is a real factor here — with 80% of these roles workable from anywhere, some Canada-based professionals earn from foreign employers at rates well above the local median.

Global Pay Rankings for Data Scientists

Converted to US dollars, the median data scientist salary in Canada is $111,359 — 89% of what the same role pays in the United States ($125,000). The highest-paying countries we track for this role are Singapore ($206,571), Ireland ($188,496), Qatar ($180,769). Keep in mind that higher-paying markets usually pair with higher living costs, so net purchasing power gaps are smaller than the headline numbers.

How Pay Grows Over a Career

Experience pays in this field: entry-level roles average CA$107,000, mid-career professionals earn a median of CA$158,000, and senior specialists reach CA$218,000+. That is a 2.0x span from first job to senior level. In Canada, the biggest single jumps typically come from switching employers rather than internal raises — a pattern consistent across most markets we track.

Demand for Data Scientists in Canada

Demand for data scientists in Canada is exceptionally strong, scoring 90/100 on our demand index. About 80% of positions in this field can be performed remotely or in hybrid arrangements, which widens the effective job market for candidates in Canada beyond national borders. For job seekers this tilts negotiating leverage toward candidates: multiple offers are realistic, and counter-offers are common.

Inflation and Real Earnings

Inflation in Canada is a modest 2.1%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 2.1% represent genuine real-terms gains.

Qualifications That Move the Needle

Most employers expect master's degree in a quantitative field (often preferred). Day to day, the skills that consistently correlate with higher pay in this field are python, statistics, machine learning — and, at senior levels, sql and data visualization. Candidates who can demonstrate these with concrete work examples routinely land in the upper half of the salary range.

Adjacent Careers and Pivots

Data Scientists commonly pivot into roles like Data Analyst, Machine Learning Engineer, Data Engineer, either to specialize or to chase stronger demand. If pay growth in your current track stalls, comparing medians across these adjacent roles is a good first step.