Full-time jobs in Canada (384,404 jobs)

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

384,404 listings · 47,509 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,106 listings), Health Match BC (4,035 listings), Walmart (2,937 listings).

Common roles: Project manager, Sales representative, Cook.

67,298 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	39,210
CAD / year	80,000.00	25,741
CAD / month	5,377.61	702
USD / year	127,000.00	227
CAD / week	1,576.40	78
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	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: 1% 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

Group jobs by employerEmail me new jobs Save this search

Added 9 mins ago
IF
New Business Administrator
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
This role is eligible for working from home up to 3 days per week
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Remote, Canada
- Full-time
- Remote
Added 9 mins ago
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AB · Edmonton, Alberta
- Full-time
* Applicants must have legal authorization to work in Canada with no restrictions
Added 9 mins ago
TR
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Regina, SK
- Full-time
May be required to answer calls outside of regular business hours and provide guidance to evening shift staff
Added 9 mins ago
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Operational Readiness Manager
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Winnipeg, MB
- Full-time
Added 9 mins ago
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Regional Account Manager
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Edmonton, AB
- Full-time

Amazon Science

Sr. Applied Scientist, Amazon Private Brands, Amazon Private Brands Selection Guidance

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 10, 2026
Experience: PhD, or Master's degree and 6+ years of applied research experience
Posting language: English
Posted: Nov 10, 2026

Original job description

Description

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.

The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using novel technology, to solve some of the toughest business problems at Amazon.

As a Sr. Applied Scientist you apply state-of-the-art research to business problems, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and development.

This is a unique, high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.

Key job responsibilities

Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
Adapt and apply state-of-the-art machine learning solutions to business problems.

Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.

Review and guide science solutions across the team.
Publish and socialize your and the team's research across Amazon and external avenues as appropriate
Leverage industry best practices to establish repeatable applied science practices, principles & processes.

A day in the life

You might start your morning reviewing experiment results from a new model architecture you proposed, then meet with engineering partners to discuss how to integrate your latest prototype into a production pipeline. After lunch, you lead a design review for a colleague's approach to a retrieval problem, offering alternative scientific directions grounded in your deep domain expertise. Later, you spend focused time writing code for a novel training methodology, and close the day drafting a research proposal that could open an entirely new capability for your team.

Basic Qualifications

PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language

Preferred Qualifications

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually

Apply on LinkedIn About employer

More about this job

Responsibilities

Partner with business stakeholders to frame ambiguous business needs as science problems, then develop, prototype, and deploy machine learning and other scientific solutions. Guide and review the team's science work, share research, and establish repeatable applied science practices.

Requirements

Requires a PhD or a master's degree with at least six years of applied research experience, plus programming experience in Java, C++, Python, or a related language. Preferred qualifications include experience with modeling tools such as scikit-learn, Spark MLlib, TensorFlow, NumPy, and SciPy, and large-scale distributed systems such as Hadoop and Spark.

Skills

Applied Research
Machine Learning
Generative AI
Statistics
Economics
Named Entity Recognition
Product Substitution Modeling
Pricing Optimization
Agentic AI
Large Language Models
Prototyping
Scientific Design Review
Research Publication
Python
Java

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan
Paid Time Off
Sign-On Payments
Restricted Stock Units

Visa sponsorship

Not detected in the job text

Keywords

Applied Science
Applied Research
Generative AI
Machine Learning
Statistics
Economics
Named Entity Recognition
Product Substitutes
Pricing Optimization
Agentic AI
Large Language Models
Amazon Private Brands
Product Assortment
Merchandising
Ordering
Prototyping
Production Implementation
Java
C++
Python
R
Scikit-Learn
Spark MLlib
MxNet
TensorFlow
NumPy
SciPy
Distributed Systems
Hadoop
Spark

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Work requirements

Full-time jobs in Canada