Full-time jobs in Canada

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

191,655 listings · 19,877 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,975 listings), Starbucks Coffee Company (1,900 listings), Loblaw Companies Limited (1,519 listings).

Common roles: Project manager, Sales representative, Store manager.

21,486 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 / year	81,600.00	12,428
CAD / hour	24.00	6,342
USD / year	95,500.00	1,062
USD / hour	20.00	423
CAD / month	5,538.94	237
CAD / week	1,400.00	31
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	380.00	14
GBP / year	40,000.00	12

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: 2% remote, 18% hybrid, 80% 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

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Amazon Science

Applied Scientist, Demand Tech Planning

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 12, 2026
Posting language: English
Posted: Jul 18, 2026

Original job description

Description

The Media Planning Science team develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Incremental Reach, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes.

As an Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel insights to our customers.

Key job responsibilities

Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problems
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high quality technical documents
Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
Partner closely with other scientists to deliver large, multi-faceted technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and non-technical audiences
Contribute new ideas that shape the direction of the team's work
Mentor junior scientists and participate in the hiring process

A day in the life

You will solve real-world problems by analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop ML/DL models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication.

About The Team

We are a team of scientists across Applied and Data Science disciplines. You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

Basic Qualifications

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

Currently has, or is in the process of obtaining, a PhD in computer science, computer engineering, or related field
Experience applying theoretical models in an applied environment
Experience applying generative AI techniques to solve complex scientific or business problems with measurable impact

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, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

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More about this job

Responsibilities

Develop, evaluate, and productionize machine learning and deep learning models that provide media planning and advertising measurement insights, including solutions for incremental reach, budget optimization, and recommendations. Collaborate with scientists, engineers, and product managers to deliver scalable solutions, communicate findings, publish scientific work, and mentor junior scientists.

Requirements

Requires at least three years of experience building models for business applications, plus a PhD or a master's degree with at least four years of experience in computer science, computer engineering, machine learning, or a related field. Candidates must have programming experience in Java, C++, Python, or a related language, and experience in areas such as algorithms, numerical optimization, data mining, or distributed computing; a PhD and applied generative AI experience are preferred.

Skills

Applied Science
Machine Learning
Deep Learning
Generative AI
Causal Inference
Media Planning
Advertising Measurement
Budget Optimization
Incremental Reach
Model Development
Numerical Optimization
Data Mining
Algorithms and Data Structures
Python
Java
C++

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Coverage
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

Amazon Advertising
Media Planning
Advertising Measurement
Incremental Reach
Budget Planning Optimization
Recommendations
Machine Learning
Deep Learning
Generative AI
Natural Language Processing
Causal Inference
Heuristic Models
Agent-Based Tools
APIs
Model Productionization
Evaluation Frameworks
Numerical Optimization
Data Mining
Algorithms and Data Structures
Parallel Computing
Distributed Computing
High-Performance Computing
Python
Java
C++
Simulations
Experiments
Technical Documentation
Scientific Research
Toronto

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