IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 2, 2026

Hiring at a glance

View jobs

Open jobs: 2,548
Employers: 1,309

Advertised starting pay

Average starting payCAD / year: $97,912Across 241 listings
Average starting payCAD / hour: $50.77Across 85 listings
Average starting payUSD / year: $117,906Across 52 listings

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

Where work happens

Remote: 5%127 listings
Hybrid: 39%1,006 listings
On-site: 55%1,406 listings

Not specified: <1% (9 listings)

Employers hiring include J&M Group (40), TD (40), Amazon (35).

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

IT & data jobs in Canada

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PartsAvatar.ca

Data Scientist

Montreal, QC, Canada

Job type: Full-time
Apply by: Dec 12, 2026
Posting language: English
Posted: Jun 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

Company: Parts Avatar

Location: Downtown Montreal, Quebec (Hybrid: 3 days in office, 2 days remote)

Employment Type: Full-time

About Parts Avatar

Parts Avatar approaches the entire automotive repair and aftermarket industry through a rigorous scientific and technological lens, positioning our e-commerce platform as just one core solution alongside a broader ecosystem of engineering innovations. We operate fundamentally as a technology enterprise, powering our mission through completely distinct, highly specialized Software Engineering and Data Science teams. These separate units dedicate themselves to mastering complex industrial, supply chain, and operational challenges, collaborating to pioneer smart, data-driven solutions that optimize workflows and completely redefine the automotive landscape. Join our growing team in a dynamic, deeply analytical, and innovative environment!

Job Summary

Parts Avatar is seeking a highly motivated and talented Data Scientist to join our team. This role is ideal for a self-starter with a strong analytical background and a passion for turning data into actionable insights. You will focus directly on core e-commerce pillars, leveraging predictive modelling to enhance user experience through personalization, optimize marketing spend, and predict demand and returns to streamline our supply chain.

Key Responsibilities

Collect, preprocess, and analyze various data from diverse sources to identify trends, patterns, and opportunities.

Develop, deploy, and maintain machine learning models for demand prediction to optimize inventory and fulfillment operations.

Design and execute data science initiatives centred around personalization and recommendation algorithms to enhance the customer journey.

Analyze marketing data to attribute performance, uncover insights, and optimize customer acquisition and retention strategies.

Build frameworks to analyze returns data, identifying root causes and offering data-driven mitigation recommendations.

Collaborate with various teams to understand their data needs and provide data-driven recommendations.

Design, develop, and maintain key performance indicator (KPI) reports and dashboards to monitor business performance.

Generate actionable insights for business improvements.

Qualifications

Education

Degree required in a quantitative field such as Mathematics, Statistics, Computer Science, Software Engineering, or a related discipline.

Master's degree preferred.

Technical Skills

Comprehensive experience with the Python data stack (e.g., Pandas/Polars, NumPy, Scikit-learn, Tensorflow/PyTorch).

Fluency in SQL for data querying and manipulation.

Strong understanding of machine learning concepts and algorithms.

Proficiency in data visualization.

Familiarity with the Atlassian suite (Jira, Confluence) and Git.

Soft Skills

A self-starter with the ability to work independently and take initiative.

Excellent collaborative skills, strong ability to multitask, and a curiosity to learn and grow.

Work Authorization

Must be eligible to work in Canada.

Language Requirements

Proficiency in English (spoken and written) is required, as English is the primary working language across teams in Ontario and Quebec. French is considered an asset.

Benefits

Competitive salary.

Performance bonus.

Comprehensive insurance plan.

Hybrid work schedule (3 days in office, 2 days work from home).

Opportunity to work with a dynamic and growing e-commerce leader.

Collaborative and supportive team environment.

Apply About employer

More about this job

Responsibilities

The Data Scientist will collect, preprocess, and analyze data to identify trends and develop machine learning models for demand prediction. They will also collaborate with various teams to provide data-driven recommendations and enhance the customer journey through personalization.

Requirements

A degree in a quantitative field is required, with a master's degree preferred. Candidates should have comprehensive experience with the Python data stack, fluency in SQL, and a strong understanding of machine learning concepts.

Skills

Python
Data Analysis
Machine Learning
SQL
Data Visualization
Predictive Modelling
Personalization
Recommendation Algorithms
Marketing Data Analysis
KPI Reporting
Collaboration
Initiative
Curiosity
Git
Atlassian Suite

Benefits

Competitive Salary
Performance Bonus
Comprehensive Insurance Plan
Hybrid Work Schedule
Opportunity to Work with a Dynamic and Growing E-commerce Leader
Collaborative and Supportive Team Environment

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
E-commerce
Machine Learning
Predictive Modelling
Data Analysis
Python
SQL
Data Visualization
Marketing
Personalization
Recommendation Algorithms
KPI Reporting
Collaboration
Atlassian
Git
Automotive
Supply Chain
Operational Challenges
Data-driven Solutions

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