Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

340,510 listings · 45,233 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,164 listings), Health Match BC (2,995 listings), Walmart (2,620 listings).

Common roles: Cook, Project manager, Sales representative.

61,704 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	36,399
CAD / year	80,000.00	21,247
USD / year	98,576.50	1,488
USD / hour	20.00	617
CAD / month	5,027.00	611
CAD / week	1,445.00	51
CAD / day	375.00	37
USD / week	1,622.80	17
GBP / year	40,000.00	14
USD / month	4,000.00	13
EUR / year	65,000.00	11

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.

Workplace classifications: 2% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 11 hours ago
Senior Manager - Program Management - Quebec Growth Program
Scotiabank
Montreal, QC
Added 11 hours ago
Manager, Global Compliance Business Risk Management
Scotiabank
Toronto, ON
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Portfolio Administrator, Scotia Jarislowsky Fraser - Montreal, QC
Scotiabank
Montreal, QC
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Manager, Concierge Support, Global Transaction Banking - Toronto
Scotiabank
Toronto, ON
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Director, Product Marketing - Scotia Global Asset Management
Scotiabank
Toronto, ON
Added 11 hours ago
ScotiaMcLeod Senior Financial Planning Associate
Scotiabank
White Rock, BC
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PC
Project Coordinator, Renewables
PRI Consultants
Calgary, AB
- Full-time
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PC
Project Coordinator, Renewables
PRI Consultants
Toronto, ON
- Full-time
Added 11 hours ago
PC
Controller
PRI Consultants
Mississauga, ON
- Full-time
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Gestionnaire de projets, Réseau des centres moteurs – Project Manager, Engine Center Network
RTX
Longueuil, QC
- Full-time
Added 11 hours ago
IT
Receptionist
Inland Truck & Equipment
Kamloops, BC
- Full-time
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AU
Livreur RSR / Route Sales Representative (Delivery Driver)
Alsco Uniforms
Quebec, QC
- Full-time
Added 11 hours ago
GS
Specialist III, Quality Assurance (Quality Systems)
Gilead Sciences
AB · CA - AB - Edmonton
- Full-time
Added 11 hours ago
GS
Director, Engineering - Gilead Alberta
Gilead Sciences
AB · CA - AB - Edmonton
- Full-time
Added 11 hours ago
Senior Tunnel Engineer
GHD Group Pty Ltd
Markham, ON
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PepsiCo Canada: Frontline Recruiter
PepsiCo
Calgary, AB
- Full-time
Added 11 hours ago
TI
Resource Coordinator
Tacten Industrial Inc
Fort McMurray, AB
- Full-time
Added 11 hours ago
M
Project Manager, Lakeshore West Construction Management
Metrolinx
Canada
- Full-time
Added 11 hours ago
Client Service Coordinator On Call
Bayshore
Chatham-Kent, ON
Added 11 hours ago
PSW/LCW
Bayshore
South River, ON
Added 11 hours ago
SJ
Assistant Store Manager - Peoples Jewellers - Sunridge Mall
Signet Jewelers
Calgary, AB · Canada - Sunridge Mall - Calgary, AB
- Full-time
Added 11 hours ago
FB
Loan Consultant
Fairstone Bank
Cranbrook, BC
- Full-time
Added 11 hours ago
E
Administrator/General Manager/Executive Director
Extendicare
Maple, ON · Sherwood Court
- Full-time
Added 11 hours ago
G
Service manager
GoSecure
Saint John, NB · Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Added 11 hours ago
Manufacturing Technician - Test
INNIO
Welland, ON

Key Talent Solutions

Applied Scientist

Montreal, QC, Canada

💰 Salary: CA$100,000 – CA$140,000 per year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: 💰 Salary: CA$100,000 – CA$140,000 per year
Job type: Full-time
Apply by: Nov 30, 2026
Experience: Minimum 5 years of professional experience, excluding internships.
Posting language: English
Posted: Oct 31, 2026

Original job description

📍 Location: Montreal, Canada

🕘 Employment: Full-time

🏢 Work model: On-site, 5 days a week

💰 Salary: CA$100,000 – CA$140,000 per year

🛂 Work authorisation: Applicants must already have the right to work in Canada. Visa sponsorship is not available.

We're hiring for a health-tech Series A startup that lets people track their hormones continuously instead of relying on occasional lab tests.

You'll join the ML team as an Applied Scientist, reporting to the ML lead who built Eli's current system. The work is scientific problem solving on imperfect, noisy real-world data, not ML infrastructure; the ML lead supports integration and productionization.

Two data sources: the app's analysis of each test result (the color read by the ML engine), and the daily series of results that builds each user's curve.

You will own:

Explore datasets and understand the underlying data-generating processes.
Develop, evaluate and improve machine learning, signal processing and statistical models.
Run feature engineering, model selection, validation and error analysis.
Identify confounding, data leakage, measurement variability and distribution shift.
Design experiments and analyses to resolve uncertainty and guide modelling decisions.
Investigate new approaches, from classical ML to deep learning where appropriate.
Write clear, reproducible Python code (beyond notebooks) and communicate findings to technical and non-technical stakeholders.
Build analyses and models with production deployment in mind.
Investigate model performance and failures using real production data.
Run ongoing error analysis, diagnostics and root-cause investigations.
Spot distribution shifts, edge cases, systematic biases and performance degradation.
Turn production observations into experiments, improvements or data-collection strategies

What we're looking for ?

Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics or a related field. Master’s or PhD preferred.
Minimum 5 years of professional experience, excluding internships.
Strong foundation in machine learning fundamentals, statistics and experimental reasoning.
Strong Python and experience with common ML and data science libraries.
Able to work independently on ambiguous problems and decide which questions need answering.
Good grasp of model validation, uncertainty, bias/variance and generalisation.
Able to tell a statistically or scientifically meaningful improvement from one that only moves a metric.

Why join?

Be part of the core team developing and commercialising the first product to monitor hormonal data daily and over a lifetime.
Join at an early stage, in a small (under 25), high-performing and diverse team where your work shapes the company’s direction.
Autonomy: people drive their own work and solve open-ended problems proactively.
Health insurance (medical, dental, vision and more), plus flexibility over schedule and vacations.
Office and R&D facilities in Montreal, with a distributed team that favours asynchronous work and fewer meetings

Apply About employer

More about this job

Responsibilities

Explore real-world datasets and develop, evaluate, and improve machine learning, signal-processing, and statistical models. Analyze production performance and failures, identify data and model issues, and turn findings into experiments, model improvements, or data-collection strategies.

Requirements

Requires a bachelor’s degree in a relevant field and at least five years of professional experience; a master’s degree or PhD is preferred. Candidates should have strong machine-learning, statistics, experimental reasoning, and Python skills, and be able to independently solve ambiguous problems and assess model generalization and meaningful improvements.

Skills

Machine Learning
Statistics
Experimental Reasoning
Python
Signal Processing
Statistical Modeling
Feature Engineering
Model Selection
Model Validation
Error Analysis
Data Analysis
Data Science
Deep Learning
Root-Cause Analysis
Production Model Monitoring
Scientific Problem Solving

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Schedule
Flexible Vacations

Visa sponsorship

Not detected in the job text

Keywords

Applied Science
Health Technology
Hormone Monitoring
Machine Learning
Python
Statistics
Signal Processing
Statistical Modeling
Deep Learning
Classical Machine Learning
Feature Engineering
Model Selection
Model Validation
Error Analysis
Experimental Design
Data-Generating Processes
Noisy Data
Real-World Data
Confounding
Data Leakage
Measurement Variability
Distribution Shift
Uncertainty
Bias-Variance
Generalization
Root-Cause Analysis
Production Data
Model Diagnostics
Data Collection
Reproducible Code

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