Full-time jobs in Canada

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

189,890 listings · 19,585 employers Counted Oct 5, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,943 listings), Starbucks Coffee Company (1,935 listings), Loblaw Companies Limited (1,536 listings).

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

21,189 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	81,520.00	12,202
CAD / hour	24.00	6,293
USD / year	95,500.00	1,058
USD / hour	20.00	422
CAD / month	5,692.25	235
CAD / week	750.00	25
CAD / day	380.00	15
GBP / hour	35.00	15
USD / month	5,000.00	15
GBP / year	40,000.00	13

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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Added 12 hours ago
BF
greenhouse labourer
Bevo Farms Ltd
Langley (District), BC · Langley, BC
- Full-time
Added 12 hours ago
TS
Kettle Coordinator
The Salvation Army in Canada
Hanover, ON
- Full-time
Added 12 hours ago
UA
helper, construction
Universal Auto Collision Ltd
Surrey, BC
- Full-time
Added 12 hours ago
PC
Pharmacy Manager
Pharmacy Canada
Regina, SK
- Full-time
Added 12 hours ago
MT
Senior Architectural Technologist
Madison Taylor Design
Midhurst, ON
- Full-time
Added 12 hours ago
GI
chef
Ginger Indian Cuisine
Richmond, BC
- Full-time
Added 12 hours ago
SK
chef
Spice Kings Bistro
Surrey, BC
- Full-time
Added 12 hours ago
HI
chef
Heritage Indian Cuisine
Duncan, BC
- Full-time
Added 12 hours ago
DL
landscaper
Deerwood Landscaping Ltd
North Vancouver, BC
- Full-time
Added 12 hours ago
SL
landscaping supervisor
Splendid Landscape Services Inc.
Langley (District), BC · Langley, BC
- Full-time
Added 12 hours ago
CS
Locum - Sunnybrook Health Sciences Centre - Toronto, ON
Canadian Society of Plastic Surgeons
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 12 hours ago
SC
food service supervisor
Second Cup
Regina, SK
- Full-time
Added 12 hours ago
PP
food service supervisor
Pita Pit
Moose Jaw, SK
- Full-time
Added 12 hours ago
TI
chef
Tasty Indian Bistro
Vancouver, BC
- Full-time
Added 12 hours ago
NL
food service supervisor
Nita Lake Lodge
Whistler, BC
- Full-time
Added 12 hours ago
BB
Paving Foreman
Burnaby Blacktop Ltd.
Burnaby, BC
- Full-time
Added 12 hours ago
CS
Locum Plastic Surgeon - St. Joseph's Healthcare Hamilton
Canadian Society of Plastic Surgeons
Hamilton, ON
- Full-time
Added 12 hours ago
PP
food service supervisor
Pita Pit
Regina, SK
- Full-time
Added 12 hours ago
RG
cook
Ramie's Greek Restaurant
Delta, BC
- Full-time
Added 12 hours ago
RB
supervisor, food services
Red Barn Market
Victoria, BC
- Full-time
Added 12 hours ago
MS
food service supervisor
MARBLE SLAB CREAMERY
Victoria, BC
- Full-time
Added 12 hours ago
SS
kitchen supervisor
Squamish Samurai Sushi
Squamish, BC
- Full-time
Added 12 hours ago
PP
food counter attendant
Pita Pit
Moose Jaw, SK
- Full-time
Added 12 hours ago
UO
ACET Administrative Manager
University of Victoria
Victoria, BC
- Full-time
Added 12 hours ago
BB
Grade Foreperson
BA Blacktop Group of Companies
North Vancouver, BC · Westview, BC
- Full-time

Amazon Science

Data Scientist, ADE Analytics

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 17, 2026
Posting language: English
Posted: Jul 25, 2026

Original job description

Description

The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown.

As a Data Scientist on our team, you'll work with complex data, develop statistical methodologies, and provide critical product insights that shape how we build and optimize our solutions. You will work closely with your Analytics and Applied Science teammates. You will build frameworks and mechanisms to scale data solutions across our organization. If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you.

Key job responsibilities

Key job responsibilities

Problem-Solving

Analyze complex data to identify patterns, inform product decisions, and understand root causes of anomalies.
Develop analysis and modeling approaches to drive product and engineering actions to identify patterns, insights, and understand root causes of anomalies. Your solutions directly improve the customer experience.
Independently work with product partners to identify problems and opportunities. Apply a range of data science techniques and tools to solve these problems. Use data driven insights to inform product development. Work with cross-disciplinary teams to mechanize your solution into scalable and automated frameworks.

Data Infrastructure

Build data pipelines, and identify novel data sources to leverage in analytical work - both from within Alexa and from cross Amazon
Acquire data by building the necessary SQL / ETL queries

Communication

Excel at communicating complex ideas to technical and non-technical audiences.
Build relationships with stakeholders and counterparts. Work with stakeholders to translate causal insights into actionable recommendations
Force multiply the work of the team with data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets and product insights
Collaborate with cross-functional teams. Mentor teammates to foster a culture of continuous learning and development

Basic Qualifications

2+ years of data scientist experience
2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

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 - 109,100.00 - 182,200.00 CAD annually

Apply About employer

More about this job

Responsibilities

Analyze complex data and apply statistical and machine learning methods to identify patterns, investigate anomalies, and inform product decisions. Build scalable data pipelines and analytical frameworks, and communicate actionable insights to stakeholders and cross-functional teams.

Requirements

Requires at least two years of data science experience, two years using SQL and scripting or statistical software, and two years applying machine learning or statistical modeling and data analysis techniques. Also requires a STEM master's degree or relevant STEM work experience; preferred qualifications include machine learning knowledge, Python or another scripting language, cross-disciplinary project experience, and strong communication skills.

Skills

Data Science
SQL
Python
Statistical Modeling
Machine Learning
Data Analysis
Data Pipelines
ETL
Problem-Solving
Quantitative Analysis
Data Visualization
Communication
Cross-Functional Collaboration
Product Insights
Mentoring

Benefits

Health 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

Alexa
Data Science
SQL
Python
Perl
R
SAS
MATLAB
Machine Learning
Statistical Modeling
Data Analysis
Data Pipelines
ETL
Data Querying
Quantitative Analysis
Causal Insights
Product Analytics
Product Development
Data Visualization
Dashboards
Automated Frameworks
Root Cause Analysis
Cross-Functional Collaboration
Stakeholder Communication
STEM

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