Data Scientist Jobs in Toronto, Canada

Looking for a data scientist job in Toronto? Choose from 21 open roles at 9 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

21 Open roles
9 Companies hiring
โ€” Average salary

What do Data scientists in Toronto work on?

The roles on this page divide broadly into three areas: product analytics and experimentation, machine learning engineering, and fraud or risk modelling.

On the analytics side, the Lyft Airports role and the Inference, Safety and Customer Care position focus on designing experiments, building causal inference frameworks, defining metrics, and presenting findings to product and leadership teams.

Machine learning work appears in the Algorithms and Mapping role, which expects end-to-end ownership of production models for route and travel-time prediction using PyTorch or TensorFlow.

Fraud and financial crime detection sit at the centre of the Stripe Fraud role, combining supervised and unsupervised modelling with close collaboration between research and operations teams.

At the senior end, the Reddit Sr. Staff posting and the Staff level below it ask for leadership over measurement architecture, attribution methodology, and privacy-safe experimentation infrastructure.

Skills and experience employers ask for

Python and SQL appear in nearly all postings in this set of 21, making them the clearest common thread. Statistics, A/B testing, and Spark each appear in roughly half. Deep learning frameworks such as PyTorch and TensorFlow, cloud tooling like AWS, and large language model work appear in a meaningful minority. PhD and master's degree mentions reflect stated preferences in some descriptions, not universal requirements, and the sample is small enough that counts can shift with a single posting.

Python 90%
SQL 62%
Statistics 52%
Agents 38%
Evaluation 38%
Spark 38%
A/B testing 38%
PhD 38%
Master's degree 33%
PyTorch 24%
TensorFlow 24%
LLMs 24%
AWS 24%
Snowflake 19%

Toronto office, hybrid or remote?

All postings on this page state a work mode. The majority are listed as onsite, with a smaller portion marked hybrid. None are listed as fully remote. For the hybrid postings, specific in-office day expectations are not stated in the summaries available here, so candidates should confirm the arrangement directly with each employer. The onsite designation likely means a Toronto office presence is expected, but the precise address or campus details are not included in these listings.

Make your application specific to the work

  1. Read the full posting carefully Experience thresholds vary considerably across these roles, from intern and new-graduate positions through ten-plus years for staff levels, so check the stated requirements before applying.
  2. Prepare relevant work samples Several summaries mention end-to-end project ownership, causal inference work, or production model deployment; having concrete examples of these ready will help in both written applications and technical interviews.
  3. Note application timelines Two postings are for winter and summer 2027 internships, which typically have earlier deadlines than permanent roles; check each posting's closing date directly on the employer's site.
  4. Confirm location and sponsorship details None of the postings in this set state salary ranges or visa sponsorship status, so contact the employer or check their careers page directly for both before proceeding.

Questions about Data Scientist jobs in Toronto

None of the postings on this page state whether visa sponsorship is available. You would need to ask each employer directly or check their full application process.

No advertised pay ranges are included in any of the postings on this page. The figures are simply not stated, so any salary expectations should be discussed with the employer during the hiring process.

Not in these postings. All list either onsite or hybrid arrangements; none are marked as fully remote.

A PhD is mentioned in a portion of the descriptions, sometimes as one pathway alongside a master's degree with more years of experience. It is not stated as a requirement across all postings, and several roles do not mention it at all.

The postings cover a wide range, including internships and a new-graduate associate role at the junior end, through mid-level individual contributor positions, up to lead, senior, staff, manager, and director designations. A portion of postings do not state a seniority level explicitly.

Jobs checked 8 hours ago. ยท Guide reviewed 14 September 2026.