Data scientist jobs in Canada (953 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 953
Employers: 459

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: 48%459 listings
On-site: 45%427 listings

Not specified: <1% (1 listing)

Employers hiring include TD (43), National Bank of Canada (20), S M Software Solutions Inc (20).

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 18 days ago
NB
Senior Data Scientist, Credit Risk
National Bank of Canada
Richmond Hill, ON
- Full-time
A career as a Senior Data Scientist, Model Development and Risk Production in the Credit Risk Analytics team at National Bank means acting as a hands-on subject matter expert in credit risk…
Added 18 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 18 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Added 18 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
The Lab's mandate is simple: find the highest-value problems our customers face, prove solutions quickly with working prototypes built on real operational energy data, a
Added 18 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
Added 18 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Added 18 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Added 18 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Added 18 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Added 18 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Added 18 days ago
C
Lead Data Scientist
Capgemini
Kamloops, BC
- Full-time
Added 18 days ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect
Added 18 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data Architect - Technical Architect
Added 18 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 18 days ago
IG
Data Architect
Insight Global
Toronto, ON
- $90 to $91 CAD / hour
- Contract
Insight Global is seeking a Solution Architect to support a major Wealth Data & Analytics transformation initiative. This individual will play a key role in defining and governing…
Added 18 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 18 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 18 days ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
Added 18 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Added 19 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 19 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 19 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Added 19 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
VP Development and Alumni is currently seeking a Full-time Limited Term Data Scientist - Applied AI for approximately 24 months with a strong possibly of extension, based on organizational…
Added 19 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 19 days ago
SM
Junior Data & Machine Learning Specialist (Contract)
Stichting Mission on Wheels
Calgary, AB
- $55,000 to $60,000 CAD / year

Qualcomm

Machine Learning Engineer, AI Processors

Markham, ON, Canada

$104,800.00 - $154,800.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $104,800.00 - $154,800.00
Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon platforms.

In this role, you will work on cutting-edge machine learning algorithms and technologies spanning computer vision, multimodal AI, and agentic AI systems, and contribute to research and development of AI applications optimized for accuracy, efficiency, and real-world performance on Snapdragon-powered devices. Replacement Position

Responsibilities

Stay current with the latest advances in artificial intelligence, machine learning, and foundation models.
Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms.
Design and build innovative reference applications showcasing Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
Evaluate and balance hardware and software trade-offs to achieve optimal performance, power efficiency, and user experience.
Support the implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.

Qualifications:

Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
Passion for innovation and for building efficient AI solutions on edge devices.
Strong software development skills in Python and/or C++,
Strong problem-solving skills and the ability to work effectively in a cross-functional environment.
Familiarity with embedded development, operating systems concepts and software development principles.

Preferred Qualifications:

Master’s or PhD degree with 1+ years of relevant work experience or publications in the areas of machine learning, agentic AI, computer vision, video/image processing algorithms, NLP or audio/speech processing.
Experience developing and deploying AI solutions in real-world applications.
Experience translating AI/ML algorithms into software applications running on edge devices.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Pay range and Other Compensation & Benefits:

$104,800.00 - $154,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers.

Apply About employer

More about this job

Responsibilities

Develop and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms across mobile, edge, XR, and IoT devices. Research and implement innovative AI applications while balancing hardware and software trade-offs for performance and power efficiency.

Requirements

Requires a Bachelor's degree in Computer Science, Engineering, or a related field with strong software development skills in Python or C++. Proficiency in machine learning frameworks and experience with AI algorithms on edge devices is essential.

Skills

Machine learning
Computer vision
Multimodal AI
Agentic AI
PyTorch
TensorFlow
Python
C++
Embedded development
Software development
Algorithm optimization
Edge computing
Video processing
Image processing
NLP
Audio processing

Benefits

Annual discretionary bonus program
Annual RSU grants
Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Qualcomm Snapdragon
AI Processors
Computer Vision
Multimodal AI
Agentic AI
PyTorch
TensorFlow
Python
C++
Edge Devices
Embedded Development
Operating Systems
NLP
Audio Processing
Video Processing
Image Processing
Algorithm Optimization
XR
IoT
Software Development
Foundation Models
Artificial Intelligence

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