Data scientist jobs in Canada (961 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 9, 2026

Hiring at a glance

View jobs

Open jobs: 961
Employers: 460

Advertised starting pay

Average starting payCAD / year: $125,131Across 97 listings
Average starting payCAD / hour: $70.77Across 40 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 7%66 listings
Hybrid: 49%467 listings
On-site: 44%427 listings

Not specified: <1% (1 listing)

Employers hiring include TD (43), S M Software Solutions Inc (26), National Bank of Canada (21).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Canada

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Added 2 months ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Added 3 months ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative…
Added 2 months ago
CG
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
- Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 2 months ago
SM
Senior Data Scientist
Spin Master
Toronto, ON
- Full-time
Added 2 months ago
WT
Sr Data Scientist, Finance, Brokerage & Market Risk
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
Added 2 months ago
M
Data Architect - Integration
Maarut
Quebec, QC
- Contract
is seeking an integrator-level data architect who ensures the consistency of
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
Reports to: Head of Applied AI & Data Engineering
Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Montreal, QC
- Full-time
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite
Mont-Royal, QC
- Full-time
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
Added 2 months ago
IC
Data Architect
ICES Central
Toronto, ON
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 3 months ago
P
Senior Machine Learning Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 2 months ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Added 2 months ago
P
Data Scientist - Hybrid
Pelmorex
Oakville, ON
- Full-time
Added 3 months ago
ES
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
R
Senior Machine Learning Engineer
Remitly
Burnaby, BC
- Full-time
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Added 3 months ago
4E
Senior Data Scientist
407 ETR
Woodbridge, ON
- Full-time
…on pricing, marketing and customer travel behavior. The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to…
Added 3 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Added 3 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON

Oncoustics

Senior Machine Learning Engineer in Medical Imaging

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years at least of industry experience in the development and deployment of AI/ML models for health care
Posting language: English
Posted: Jul 10, 2026

Original job description

Director/ Senior Machine Learning Engineer in Medical Imaging

TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME

Job Description

Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer to join our team with relevant academic experience and deep industry experience.

‍

A successful candidate will be capable of in-depth development and understanding of machine learning architectures that go beyond the state of the art - advancing beyond conventional hyper-parameter tuning on existing models. They should be able to manage and lead both teams and projects, while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing production-grade code. They should be able to build on previous work to drive innovation with a novel dataset and demonstrate a collaborative, team-oriented mindset.

Responsibility

Lead development and deployment of deep learning and machine learning models in tensorflow and pytorch
Build on existing collaborative culture in multi-disciplinary & distributed team
Coach on and explain ML engineering (options, cost-benefit, etc) to ML scientists and team overall
Help the ML and software teams understand the necessary parts of ML to properly develop supporting systems and processes
Coach both ML scientists and ML/software engineers on appropriate best ML software practices
Work w/ R&D team to improve experiment foci (IE prioritization and targeted results) and communications (presentations, updates, etc)
Define and manage ML engineering processes and pipelines between R&D and SW engineering for final product outputs.
Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
Plan for deployment of all models in Oncoustics future apps
Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
Participate in FDA planning and clearance of algorithms

Requirements

Graduate degree in a related field, and relevant undergraduate
5+ years at least of industry experience in the development and deployment of AI/ML models for health care
Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs

Good To Have

PhD/graduate work in machine learning/machine vision
Expertise in medical imaging analysis or signal processing with AI
Experience in the use of ultrasound
Prior experience with FDA clearance of AI/ML algorithms

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More about this job

Responsibilities

Lead the development and deployment of deep learning and machine learning models, while managing teams and projects. Collaborate with various teams to improve processes and define ML engineering pipelines.

Requirements

A graduate degree in a related field and at least 5 years of industry experience in AI/ML model development for healthcare are required. Expertise in Python and deep learning frameworks, along with experience in medical imaging analysis, is preferred.

Skills

Machine Learning
Deep Learning
Python
Tensorflow
Pytorch
Signal Processing
Medical Imaging
AI
Hyper-Parameter Tuning
Collaboration
Model Deployment
QA
Production-Grade Code
Attention Mechanisms
Multi-Instance Learning
GANs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
Tensorflow
Pytorch
Medical Imaging
AI
Signal Processing
Hyper-Parameter Tuning
Collaboration
Model Deployment
QA
Production-Grade Code
Attention Mechanisms
Multi-Instance Learning
GANs
FDA Clearance
Healthcare
Ultrasound
Research and Development
Algorithms
Data Pipelines
Experimentation
Innovation
Team Leadership
Coaching
Communication
Process Improvement
Software Practices
R&D

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