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Data Scientist Salary in Toronto, ON (2026)

Salary data for Data Scientist in Toronto, ON is being compiled.

Our system is aggregating city-level salary data from live job listings. Check back soon.

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Other Tech & Engineering Salaries in Toronto, ON

Software Engineer →Data Engineer →Machine Learning Engineer →DevOps Engineer →Cloud Engineer →Frontend Developer →Backend Developer →Full Stack Developer →UX Designer →UI Designer →Product Designer →Data Analyst →Cybersecurity Analyst →QA Engineer →Site Reliability Engineer →Solutions Architect →Cloud Architect →Technical Program Manager →iOS Developer →Android Developer →AI Engineer →LLM Engineer →Platform Engineer →Security Engineer →Network Engineer →Database Administrator →Embedded Systems Engineer →Firmware Engineer →Python Developer →

Data Scientist Salary in Other Cities

New York, NY →San Francisco, CA →Seattle, WA →Austin, TX →Boston, MA →Chicago, IL →Los Angeles, CA →Denver, CO →Atlanta, GA →Washington, DC →Dallas, TX →Miami, FL →Raleigh, NC →San Diego, CA →Vancouver, BC →Calgary, AB →Bangalore, India →Hyderabad, India →Remote (US) →
National Data Scientist Salary →How to Become a Data Scientist →Data Scientist Interview Questions →

Frequently Asked Questions

What is the Data Scientist salary in Toronto, ON?

Data Scientist salary data for Toronto, ON is being compiled. Check back soon.

How does Data Scientist pay in Toronto, ON compare to the national average?

We are still compiling the comparison data. Check the national Data Scientist salary page for the latest figures.

Is Toronto, ON a good market for Data Scientist jobs?

Toronto, ON has Data Scientist job listings.

What seniority levels are most in demand for Data Scientist in Toronto, ON?

Most Data Scientist openings in Toronto, ON span Entry to Senior levels. Staff and Principal roles are rarer but command 40–55% salary premiums over median.

How do I find Data Scientist jobs in Toronto, ON?

TryApplyNow aggregates Data Scientist job listings in Toronto, ON from multiple sources and uses AI to score each match against your resume and preferences.

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