Jobs in Delta, BC and nearby

Jobs within 25 km of Delta, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

21,416 listings · 3,683 employers Counted Oct 7, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (731 listings), Fraser Health (711 listings), Provincial Health Services Authority (384 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

4,031 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	83,000.00	1,773
CAD / hour	31.00	1,768
CAD / month	5,692.25	176
USD / hour	18.85	118
USD / year	91,200.00	83

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: 0% remote, 21% hybrid, 79% 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

Jobs in Delta, BC and nearby

Within 25 km

Email me new jobs Save this search

Added 12 hours ago
TH
Order Picker : Part Time - RICHMOND
The Home Depot
Richmond, BC
- Part-time
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TH
Merchandising Associate: Part Time (Mon - Fri / 6am - 2:30pm) - RICHMOND
The Home Depot
Richmond, BC
- Part-time
Added 12 hours ago
TH
Asset Protection Specialist: Full Time- Vancouver Terminal
The Home Depot
Vancouver, BC
- Full-time
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Order picker: Part Time - WHITE ROCK
The Home Depot
Surrey, BC
- Part-time
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The Home Depot
Burnaby, BC
- Full-time
Added 12 hours ago
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Overnight Order Picker Full Time - 7057 Polo Park
The Home Depot
Burnaby, BC
- Full-time
Added 12 hours ago
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Merchandising Execution Associate: Part Time Temp - VANCOUVER TERMINAL
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Vancouver, BC
- Part-time
Added 12 hours ago
TH
Millwork Sales Specialist Full Time - 7057 Polo Park
The Home Depot
Burnaby, BC
- Full-time
Added 12 hours ago
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Hardware Sales Associate Full Time - 7057 Polo Park
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Burnaby, BC
- Full-time
Added 12 hours ago
TH
Flooring Sales Specialist Full Time - 7057 Polo Park
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Burnaby, BC
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Added 12 hours ago
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Burnaby, BC
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Added 12 hours ago
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Flooring Sales Associate: Part Time - BURNABY
The Home Depot
Burnaby, BC
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Added 12 hours ago
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Overnight Freight Associate: Part Time - BURNABY
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Burnaby, BC
- Part-time
Added 12 hours ago
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Sales Associate Part Time (ST. JOHN'S)
The Home Depot
Burnaby, BC
- Part-time
Added 12 hours ago
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Overnight Freight Team Associate: Part Time - STRAWBERRY HILL
The Home Depot
Surrey, BC
- Part-time
Added 12 hours ago
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Asset Protection Specialist: Full Time - STRAWBERRY HILL SURREY
The Home Depot
Surrey, BC
- Full-time
Added 12 hours ago
TH
Overnight Order Picker: Part Time - WHITE ROCK
The Home Depot
Surrey, BC
- Part-time
Added 12 hours ago
TH
Overnight Freight : Part Time - VANCOUVER TERMINAL
The Home Depot
Vancouver, BC
- Part-time
Added 12 hours ago
TH
Overnight Order Picker: Full Time - VANCOUVER
The Home Depot
Vancouver, BC
- Full-time
Added 12 hours ago
TH
Tool Rental Service Technician: Part Time - VANCOUVER TERMINAL
The Home Depot
Vancouver, BC
- Part-time
Added 12 hours ago
TH
Service Desk Associate: Part Time - VANCOUVER
The Home Depot
Vancouver, BC
- Part-time
Added 12 hours ago
TH
Hardware Sales Associate: Part Time - VANCOUVER
The Home Depot
Vancouver, BC
- Part-time
Added 12 hours ago
TH
Merchandising Associate: Full Time (6M Contract) - VANCOUVER
The Home Depot
Vancouver, BC
- Full-time
Added 12 hours ago
TH
Asset Protection Specialist Full-Time - 7057 Polo Park
The Home Depot
Burnaby, BC
- Full-time
Added 12 hours ago
IF
Internal Wholesaler
iA Financial Group
Vancouver, BC
- Full-time

Amazon Science

Sr. Applied Scientist, Workforce Solutions

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 9, 2026
Posting language: English
Posted: Aug 12, 2026

Original job description

Description

Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success. WISE (Workforce Intelligence powered by Scientific Engineering) delivers the scientific and engineering foundation that powers Amazon's enterprise-wide workforce planning ecosystem. Addressing the critical need for precise workforce planning, WISE enables a closed-loop mechanism essential for ensuring Amazon has the right workforce composition, organizational structure, and geographical footprint to support long-term business needs with a sustainable cost structure.

We are looking for a Sr. Applied Scientist to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Software Engineers, Machine Learning Engineers, Data Engineers and other Scientists, TPMs, Product Managers and Senior Management to help create world-class solutions. We're looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. As a tech expert, you will be an advocate for compelling user experiences and will demonstrate the value of automation and data-driven planning tools in the People Experience and Technology space.

Key job responsibilities

Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams
Priority management - manage diverse requests and dependencies from teams
Process improvements – define, implement and continuously improve delivery and operational efficiency
Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations
Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations

To be successful on this journey, you love having high standards for yourself and everyone you work with, and always look for opportunities to make our services better.

Basic Qualifications

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

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 About employer

More about this job

Responsibilities

Develop advanced optimization and large language model solutions for Amazon's workforce planning ecosystem, using machine learning and analytics to generate actionable insights. Own delivery and operational outcomes, collaborate across technical and business teams, manage priorities and stakeholders, and improve planning tools and processes.

Requirements

Requires at least three years of experience building machine learning models for business applications, plus a PhD or a master's degree with at least six years of applied research experience. Candidates must have programming experience in Java, C++, Python, or a related language, and experience with machine learning and neural deep learning methods; experience with modeling tools and large-scale distributed systems is preferred.

Skills

Machine Learning
Applied Research
Deep Learning
Neural Networks
Advanced Optimization
Large Language Models
Python
Java
C++
Data Analysis
Advanced Analytics
Distributed Systems
Stakeholder Management
Process Improvement
Operational Excellence

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and Accidental Death and Dismemberment Insurance
Deferred Profit Sharing Plan
Paid Time Off
Sign-On Payments
Restricted Stock Units

Visa sponsorship

Not detected in the job text

Keywords

Workforce Planning
Workforce Intelligence
Machine Learning
Applied Research
Advanced Optimization
Large Language Models
Deep Learning
Neural Networks
Advanced Analytics
Data-Driven Planning
Python
Java
C++
R
Scikit-Learn
Spark MLLib
MxNet
TensorFlow
NumPy
SciPy
Hadoop
Spark
Distributed Systems
Metrics
Reporting
Automation
Stakeholder Management
Process Improvement
Operational Excellence

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