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Added 6 mins ago
WA
Data Scientist
Weekday AI
Remote, Canada
- ₹5,000,000 to ₹15,000,000 INR / year
- Full-time
- Remote
Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
Added 2 hours ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Added 7 hours ago
R|
Research Associate
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
The MyeliNeuroGene Research Laboratory, directed by Dr. Genevieve Bernard, MD, MSc, a clinician-scientist, is looking for a motivated person to fill the position of full-time Research…
Added 8 hours ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time
…models developed internally and by external vendors. As a Data Scientist, Model Performance Monitoring and Reporting, you’ll apply your SQL, Python and statistical knowledge to assess model…
Added 11 hours ago
SF
Data Scientist, Behavioral Science & AI Evaluation
STAR FIND AI Inc.
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $92,000 to $100,000 CAD / year
- Full-time
We are hiring a Data Scientist to improve the quality and usefulness of these experiences through statistical modeling, natural language processing, and product experimentation.
Added 13 hours ago
AS
Applied Scientist, Amazon Canada Technology, Amazon Canada
Amazon Science
Vancouver, BC
- Full-time
We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and…
Added 16 hours ago
R|
Research Associate
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
The MyeliNeuroGene Research Laboratory, directed by Dr. Genevieve Bernard, MD, MSc, a clinician-scientist, is looking for a motivated person to fill the position of full-time Research…
Added 1 day ago
R|
Research Associate
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
The MyeliNeuroGene Research Laboratory, directed by Dr. Genevieve Bernard, MD, MSc, a clinician-scientist, is looking for a motivated person to fill the position of full-time Research…
Added 1 day ago
FH
Climate Change and Planetary Health Lead
Fraser Health
BC · Tri-Cities / Coquitlam / Port Coquitlam / Port Moody, British Columbia
- Full-time
…organizations. The Lead works with the Environmental Health Scientist and other FH staff to synthesize the rapidly evolving literature on climate change projections, health impacts, and…
Added 1 day ago
AS
Applied Scientist, Amazon Canada Technology, Amazon Canada
Amazon Science
Vancouver, BC
- Full-time
We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and…
Added 1 day ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
PakEnergy is seeking a hands-on Lead Data Scientist to establish and lead data science and machine learning for the Innovation Lab. Reporting to the Chief Product Officer, you will shape…
Added 2 days ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 2 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
…financial services offering, and we're hiring a Senior Data Scientist to help shape what it…
Added 2 days ago
CR
Scientist I
Charles River Laboratories
Montreal, QC
- Full-time
As a Scientist for our Immunogenicity team at the Senneville location, you will collaborate with the Analysts and other technical staff in scientific matters associated with the conduct,…
Added 2 days ago
TS
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD Securities
Montreal, QC
- Full-time
Added 2 days ago
CR
Research Scientist II - Musculoskeletal Research Department
Charles River Laboratories
Montreal, QC
- Full-time
As a Research Scientist II for our Musculoskeletal Research team at the Senneville location, you will be responsible for planning, coordinating, and overseeing study activities to ensure…
Added 2 days ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind…
Added 2 days ago
A
Data Scientist
Affinity
Vancouver, BC
- Contract
On behalf of our public-sector client, Affinity is seeking a Data Scientist. The successful candidate will develop machine learning, generative AI, and agentic AI solutions using…
Added 2 days ago
N
Data Scientist
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Data Scientist who will be responsible for designing, developing, validating, and monitoring advanced analytics, statistical models, machine learning solutions, and…
Added 2 days ago
T
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON · Montreal, QC
- Full-time
Added 2 days ago
IG
Senior Data Scientist
Insight Global
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Insight Global is looking for a Senior Data Scientist to help build out a data science capability and turn enterprise data into proactive, actionable business insights. This will be a…
Added 2 days ago
OD
R&D Category Manager
One Degree Organic Foods
Mission, BC
- $76,700 to $94,300 CAD / year
- Full-time
You are a scientist and a connoisseur of food. You enjoy being on the cutting edge of food science and technology.
Added 2 days ago
OD
R&D Category Manager
One Degree Organic Foods
Mission, BC
- Full-time
You are a scientist and a connoisseur of food. You enjoy being on the cutting edge of food science and technology
Added 2 days ago
Applied Scientist, Amazon Canada Technology, Amazon Canada
Amazon
Vancouver, BC · Toronto, ON
We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and…
Added 2 days ago
H
Data Science Expert (Up to $160/hr)
Huzzle.com
Canada
- Contract
Experience as a data scientist at a top technology company.

Amazon Science

Applied Scientist, Amazon Canada Technology, Amazon Canada

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 23, 2026
Experience: 3+ years of building models for business application experience
Posting language: English
Posted: Oct 25, 2026

Original job description

Description

Do you want to solve unique challenges specific to the Canadian market? Are you looking to make an impact on a digital commerce landscape through science?

We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and multi-objective optimization systems that turn billions of products into the right answer for hundreds of millions of Canadian customers. The role spans the full model lifecycle, from understanding and deciphering where the problem lies, building models, mid-training reasoning models on data such as shopping, returns, reasoning, localization to aligning the models with customers on dimensions that matter for shopping through fulfillment. You will be a pioneer on this team and will own defining the long-term Science strategy and execute on the same by partnering closely with several partner teams such as Core Search, Returns and work with CA Product Managers, Software Engineering and BI/DEs.

Key job responsibilities

Develop personalized multi-modal thinking-LLM techniques that reason about customers, search, queries, ranking and products across both primary and secondary languages.
Train large language models on various data signals and sets: domain-adaptive continued pre-training, reinforcement learning shopping reasoning traces, instruction tuning for natural-language shopping queries.
Analyze Canada (CA) ranking-quality gaps using offline metrics and benchmark CA model staleness and architecture against other marketplace (e.g. US, EU, JP) equivalents.
Formulate falsifiable ranking hypotheses linking a specific feature, architecture, or training change to predicted metric movement.
Run standardized offline evaluation of model candidates; validate feature statistical distributions and coverage in-locale to detect anomalies; own and lead experiments to drive improvements on offline and online experiment benchmarks.
Lead error analysis on failing query segments and segment-level deep dives (head/torso/tail, category, device), surfacing CA-specific failure modes such as bilingual and thin-category gaps.
Own metric-tradeoff analysis and acceptable-regression boundaries, bridging model behavior and CA business priorities.
Partner with teams such as Core Search on hypotheses, model training, and quality gates (MTBR / WLBR / SSAI).
Classify feature-expansion effort tiers (available / pipeline extension / locale training / infeasible) combining locale knowledge with science judgment.

About The Team

Amazon.ca Technology builds the products and services millions of Canadians rely on every day. Our teams tackle challenges unique to the Canadian market while contributing to Amazon initiatives that span the globe - giving you the best of both worlds: meaningful local impact and the scale of global tech. If you want to help shape Canada's digital commerce landscape within a collaborative Canadian work culture, this is the place to do it.

Basic Qualifications

3+ years of building models for business application experience
Experience in CS, CE, ML or related field
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

Experience using Unix/Linux
PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience in understanding performance metrics and developing them to measure progress against key performance indicators

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 - 149,300.00 - 249,300.00 CAD annually

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

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More about this job

Responsibilities

Develop and train personalized, multimodal language and ranking models for Canadian shopping, and evaluate their performance through offline analysis and online experiments. Define the Canada-focused science strategy, investigate ranking gaps and trade-offs, and collaborate with search, product, engineering, and analytics teams to improve customer outcomes.

Requirements

Requires at least three years of experience building models for business applications, a background in computer science, computer engineering, machine learning, or a related field, and programming experience in Java, C++, Python, or a similar language. Preferred qualifications include Unix/Linux experience, a PhD or a master's degree in a related field, and experience developing performance metrics tied to key performance indicators.

Skills

Applied Science
Machine Learning
Large Language Models
Model Training
Ranking Systems
Multi-Objective Optimization
Personalization
Natural Language Processing
Reinforcement Learning
Statistical Analysis
Experimentation
Error Analysis
Python
Java
C++
Algorithms and Data Structures

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Prescription Coverage
Basic Life Insurance
Accidental Death and Dismemberment Insurance
Deferred Profit Sharing Plan
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Applied Science
Machine Learning
Large Language Models
Reasoning Models
Embedding Models
Cross-Encoder Rankers
Multi-Objective Optimization
Multimodal Models
Model Training
Domain-Adaptive Continued Pre-Training
Reinforcement Learning
Instruction Tuning
Natural-Language Shopping Queries
Personalization
Search Ranking
Offline Evaluation
Online Experiments
Statistical Metrics
Error Analysis
Feature Analysis
Algorithms and Data Structures
Numerical Optimization
Data Mining
Parallel and Distributed Computing
High-Performance Computing
Python
Java
C++
Unix/Linux
Bilingual Localization

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