Definition: A Data Scientist role in Canada pays a median salary of C$130k per year (juniors C$90k, seniors C$200k) with an AI replacement risk of 7/10. The role requires Python, Machine Learning, Statistics, plus emerging AI-collaboration skills.
Canada's tech sector is actively recruiting data scientists, with roles growing 18% faster than the national average in 2025-2026. If you're considering a move into this field, understand that employers across Toronto, Vancouver, and Montreal are competing hard for talent—which means your skills genuinely matter. The reality: you'll need proficiency in Python, SQL, and machine learning frameworks, but the demand for qualified professionals significantly outpaces supply. Companies are offering competitive salaries (often $90K-$140K+ for mid-level positions) because they're struggling to fill these roles. The challenge isn't finding a job; it's positioning yourself as the candidate they can't afford to pass up. Below, you'll find current openings, salary benchmarks by region, and the specific technical skills employers are actively screening for in interviews.
| Level | Salary | Years' Experience |
|---|---|---|
| Junior | C$90k | 0–2 |
| Median | C$130k | 3–6 |
| Senior | C$200k | 7+ |
Or skip the multi-tab dance — Smart Job Matcher searches all of these simultaneously and ranks results by match score.
AI Threat Score: 7/10. AutoML and Code Interpreter automate notebook work; problem framing and ML productionisation remain.
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