IT & data jobs in Canada

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

Counted Sep 21, 2026

Hiring at a glance

View jobs

Open jobs: 2,617
Employers: 1,276

Advertised starting pay

Average starting payCAD / year: $98,481Across 247 listings
Average starting payCAD / hour: $48.31Across 83 listings
Average starting payUSD / year: $119,163Across 55 listings
Average starting payUSD / hour: $57.29Across 11 listings

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

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,018 listings
On-site: 56%1,454 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (63), Royal Bank of Canada (47), TD (45).

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

Save this search

Added 20 days ago
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Added 20 days ago
Service Desk Analyst
Government of New Brunswick
Fredericton, NB
Full-time
Added 21 days ago
Principal Application Security Engineer
Barracuda Networks Inc.
Ottawa, ON
…protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience.…
Added 20 days ago
GRO - Data Analyst
Manulife
Montreal, QC
Full-time
Step into your future as a Data Analyst - this is your opport
Added 20 days ago
GRO - Data Analyst
Manulife
Toronto, ON
Full-time
Step into your future as a Data Analyst - this is your opport
Added 24 days ago
Technical Support Representative
Mircom Group of Companies
Vaughan, ON
Full-time
Added 24 days ago
Cyber Security Analyst
SkyAlyne
Ottawa, ON
$85,000 to $100,000 CAD / year
Full-time
Added 25 days ago
Strategic Data Architect for Social Impact (Spanish)
Cuso International
Toronto, ON · Greater Toronto Area, Canada
Volunteer
Help local foundations turn data into insight, action, and stronger community impact. In this volunteer role, you will support partners to organize information, develop practic
Added 25 days ago
Application Support Analyst – FIS IntelliMatch (iMatch), Reconciliation & Production Support
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Added 25 days ago
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 25 days ago
IT Support Specialist
Classic LifeCare
Vancouver, BC
$26 to $30 CAD / hour
Full-time
Added 20 days ago
Software Development Manager
MISTRAS Group
AB
Full-time
…software products and platforms that support pipeline inspection, data analysis, reporting, and operational excellence. Reporting to the Director of Technology, this role combines technical…
Added 20 days ago
Service Desk Analyst
Curve Dental
Calgary, AB
Added 20 days ago
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Added 20 days ago
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Added 20 days ago
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Added 20 days ago
Help Desk Analyst, Information Technology Temporary (12-months)
County of Essex
Essex, ON
$34.55 to $40.41 CAD / hour
Temporary
Added 10 days ago
Technical Business Analyst- Global Payments Engineering
Scotiabank
Toronto, ON · Scarborough, ON
Added 20 days ago
Data Scientist - Algorithms, Mapping
Lyft
Toronto, ON
As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of…
Added 29 days ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Added 20 days ago
Security Operations Analyst
Newfold Digital
Yarmouth Indian Reserve No. 33, NS
Full-time
Added 25 days ago
Data Engineer
Future Electronics
Kirkland, QC
Full-time
This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and…
Added 25 days ago
Data Engineer
Ampstek
Brampton, ON
Contract
You will architect ETL pipelines, manage vector databases, enforce governance, and build real-time data flows that continuously update embeddings and indexes. Your work ensures AI agents…
Added 25 days ago
Application Support Analyst (iMatch / FIS Intelli Match)
J&M Group
Toronto, ON
Full-time
Experience analyzing and resolving reconciliation issues, including Out of Proof (OOP), rejects, and data investigation. Expe
Added 25 days ago
IT Support Specialist
Xanadu
Toronto, ON
Full-time

Lyft

Data Scientist - Algorithms, Mapping

Toronto, ON, Canada

Experience: 3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Posting language: English
Posted: Sep 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including:

How do we accurately predict acute and chronic traffic conditions?
How do we improve the recommendations of our routing algorithms?
How do we keep our travel estimation promises to our riders and drivers?
How do we benchmark and measure the success of our services?

Responsibilities:

Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration
Prioritize and lead deep dives into our data to uncover new product and business opportunities
Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores
Design, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities
Establish metrics that measure the health of our products, as well as rider and driver experience
Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams

Experience:

Advanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience
3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems
Passion for solving unstructured and non-standard mathematical problems
Experience independently driving multi-project algorithmic scopes and navigating technical ambiguity from ideation to delivery
Experience with machine learning models in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Working knowledge of modern machine learning frameworks and distributed computing systems, including PyTorch, TensorFlow, Ray, Spark, etc.

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Apply About employer

More about this job

Responsibilities

You will own the complete lifecycle of algorithmic solutions for mapping, from problem formulation and data exploration to deployment and monitoring. You will also partner with engineering and product teams to build scalable ML systems that improve routing accuracy and travel time estimations.

Requirements

Candidates must have an advanced degree in a quantitative field and at least 3 years of hands-on experience in data science or machine learning. Strong proficiency in modern ML frameworks and the ability to navigate technical ambiguity are essential.

Skills

Data Science
Machine Learning
Optimization
Reinforcement Learning
Graph-based methods
Feature engineering
Python
PyTorch
TensorFlow
Ray
Spark
Geospatial analysis
Statistical modeling
Data exploration
Algorithmic problem solving

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Mapping
Algorithms
Machine Learning
Geospatial Data
Mobility Data
Optimization
Reinforcement Learning
Graph-based Methods
Feature Engineering
Production ML
Real-time Inference
Batch Pipelines
Feature Stores
PyTorch
TensorFlow
Ray
Spark
Data Exploration
Predictive Modeling
Routing Algorithms
Traffic Analysis
Metrics
Product Development
Cross-functional Collaboration

Report this job