Find work in Canada.

551,703 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
AS
Applied Scientist, ITA-Global Hiring Science
Amazon Science
Vancouver, BC
- Full-time
Added 1 hour ago
SI
Data Scientist
Spait Infotech
Canada
- Full-time
Perform exploratory data analysis (EDA) to identify trends and patterns.
Added 7 hours ago
W
Associate Technical Consultant, Environmental Scientist
Worley
Calgary, AB · Edmonton, AB
- Full-time
Senior Environmental Scientist or Engineer – Contaminated Sites
Added 7 hours ago
KT
Applied Scientist
Key Talent Solutions
Montreal, QC
- Full-time
You'll join the ML team as an Applied Scientist, reporting to the ML lead who built Eli's current syste
Added 9 hours ago
W
Data Scientist
Wiraa
Canada
- Full-time
Added 18 hours ago
TA
AI Product Manager
Tiger Analytics
Canada
- Full-time
…harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities,…
Added 19 hours ago
W
Technical Consultant II, Environmental Scientist
Worley
Calgary, AB
- Full-time
Added 20 hours ago
GM
Digital and Social Media Marketer
Gambit Media Lab
Vancouver, BC
- Contract
Added 20 hours ago
W
Associate Technical Consultant, Environmental Scientist
Worley
Calgary, AB
- Full-time
Added 21 hours ago
TU
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Temporary
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you.
Added 21 hours ago
AI
AI Engineer (Agentic Systems)
Ample Insight Inc.
Toronto, ON
- Contract
You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from…
Added 21 hours ago
CR
Scientist in Immunochemistry
Charles River Laboratories
Montreal, QC
- Full-time
Added 22 hours ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect
Added 23 hours ago
SH
Chemical Scientist
Siemens Healthineers
Ottawa, ON
- Full-time
Under the supervision of the Manager, Program Management, the Chemical Scientist d
Added 23 hours ago
UO
Assistant Professor in Pregnancy / Perinatal Biomedical Research
University of Alberta
Edmonton, AB
- Full-time
We are seeking a visionary scientist whose research program investigates fundamental mechanisms of pregnancy, development, and early-life environments to improve pregnancy and perinatal, fet
Added 23 hours ago
A
Scientifique De Données
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Added 23 hours ago
A
Data Scientist
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
Added 1 day ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 1 day ago
S
Senior Data Architect
Synechron
Montreal, QC
- Full-time
Added 1 day ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Added 1 day ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 1 day ago
C
Data Scientist
Cyient
Longueuil, QC
- Full-time
Opportunité de carrière | Ingénieur(e) Data & Analytics
Added 1 day ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 1 day ago
Applied Scientist, ITA-Global Hiring Science
Amazon
Vancouver, BC
Added 1 day ago
T
Machine Learning Engineer II
TD
Toronto, ON
- Full-time

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

Report this job