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Added 51 mins ago
RS
Pipeline Integrity Technician
Rockwood Service Corporation
Edmonton, AB
- Full-time
…As a company driven on customer service and a high-quality product, we strive to offer leading edge technology and our team of technicians are driven to provide the highest quality…
Added 1 hour ago
Software Dev Engineer, AWS Marketplace Storefront
Amazon
Toronto, ON
…collaboration with other engineers on the team, principal engineers, product managers, and partner teams. You should be comfortable dealing with ambiguity and should have a desire to…
Added 1 hour ago
Software Dev Engineer, AWS Marketplace Storefront
Amazon
Toronto, ON
…collaboration with other engineers on the team, principal engineers, product managers, and partner teams. You should be comfortable dealing with ambiguity and should have a desire to…
Added 1 hour ago
F
Security Engineer
Flox
Canada
- Full-time
…priorities, and our security roadmap as we grow. And because our product sits at the heart of the software supply chain - managing dependencies, environments, and build artifacts for some…
Added 1 hour ago
Team Lead, Software Engineer - Data
ACV
Toronto, ON
We are looking for an exceptional Team Lead, Software Engineer to lead, architect, and elevate our engineering team. We need a leader who thrives in a fast-paced, collaborative environment…
Added 1 hour ago
L
Senior Full Stack Developer (Java/React)
Luxoft
Toronto, ON
- Contract
We’re seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust, scalable systems…
Added 3 hours ago
A
Senior Full Stack Enginner
adidas
Woodbridge, ON
- Full-time
The engineer will design, build, test, deploy, and support enterprise-grade web solutions using technologies such as React, Vite, TypeScript, Node.js, PostgreSQL, and AWS. Development will…
Added 3 hours ago
S
Talent Advisor, AI Labs
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You’ve navigated nuanced leveling conversations, complex compensation structures, and…
Added 3 hours ago
T
Staff Engineer, Thermal Design
Tenstorrent
Toronto, ON
- Full-time
…solving hard problems. We are seeking a Staff Thermal Design Engineer to architect and productize advanced cooling solutions for high-performance PCIe cards and multi-chip server systems.…
Added 3 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply…
Added 3 hours ago
L
Senior Cybersecurity Engineer - Data & AI Security
lululemon
Vancouver, BC
- Full-time
…connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.…
Added 3 hours ago
L
Principal Engineer, Global Networks & Infrastructure
lululemon
Vancouver, BC
- Full-time
…connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.…
Added 4 hours ago
T
SAP Customer Solution Director
Talan
Montreal, QC
- $170,000 to $220,000 CAD / year
- Full-time
Added 4 hours ago
MS
Principal Platform Infrastructure Engineer (Containers)
Menlo Security Inc.
Canada
- Full-time
As a Platform Infrastructure Engineer, you'll join a group of experienced engineers who are part of a globally distributed team responsible for building and managing the company's core…
Added 4 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
As a Forward Deployed Engineer, you will work at the intersection of business operations, data engineering, and technology to transform complex business challenges into scalable,…
Added 4 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
As a Forward Deployed Engineer, you will work at the intersection of business operations, data engineering, and technology to transform complex business challenges into scalable,…
Added 4 hours ago
S
Test Development Engineer
SCIEX
Vaughan, ON
- $110,000 to $123,000 CAD / year
- Full-time
The Test Development Engineer is responsible for leading defined test development work packages and delivering functional test hardware, fixtures and automated test software from concept…
Added 6 hours ago
GC
Junior Frontend Developer, Custom Webshop Development
Game Companies
Montreal, QC
- Full-time
…studios worldwide. This role requires strong technical skills, a product mindset, and a passion for crafting fast, elegant UIs at scale. ABOUT US Xsolla is a global commerce company with…
Added 7 hours ago
Staff Engineer, Thermal Design
Tenstorrent
Toronto, ON
…solving hard problems. We are seeking a Staff Thermal Design Engineer to architect and productize advanced cooling solutions for high-performance PCIe cards and multi-chip server systems.…
Added 7 hours ago
DC
Test Development Engineer
Danaher Corporation
Concord, ON · AB · CAN - Concord - AB Sciex LP
- $110,000 to $123,000 CAD / year
- Full-time
The Test Development Engineer is responsible for leading defined test development work packages and delivering functional test hardware, fixtures and automated test software from concept…
Added 8 hours ago
P
Quality Assurance Analyst
Planisware
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
…management. Planisware solutions are specifically designed to support product development, engineering, and IT business processes. Our solutions are used by companies such as Hydro-Québec,…
Added 8 hours ago
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Senior Golang Engineer, Data Processing
Litmus
Canada
- Full-time
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility,…
Added 8 hours ago
F
Process Engineer – Carbon Fiber Manufacturing Operations
Fibernx
AB · Edmonton, AB
- Full-time
Fibernx Technologies is seeking an experienced and highly skilled Process Engineer – Carbon Fiber Manufacturing Operations to support the commissioning, operation, optimization, and…
Added 8 hours ago
O
Design Engineer
OC
Vancouver, BC
- Full-time
This full-time, on-site Design Engineer role is based in Vancouver, BC. The Design Engineer will contribute to the design and development of smart building controls, automation systems, and…
Added 8 hours ago
RT
Senior Principal Engineer
Raising The Village
Remote, Canada
- Full-time
- Remote
We are seeking a Principal Engineer who combines deep technical expertise with strong people leadership. The Principal Engineer & Engineering Manager is a senior technical leadership role…

The Home Depot

Data Scientist (Askuity division)

Toronto, ON, Canada

The pay range for this position is between $62,200.00 - $70,100.00

Apply on homedepot.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The pay range for this position is between $62,200.00 - $70,100.00
Posting language: English · French
Posted: Aug 31, 2026

Original job description

English section of this bilingual listing.

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity’s mission is to enable suppliers and merchants at The Home Depot to make profitable, data-driven decisions and drive real-time execution.

As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its suppliers. You are passionate about turning complex retail, merchandising, and supply chain challenges into data-driven strategies. You thrive in fast-paced environments, balance technical depth with business intuition, and are motivated by seeing your models power real-world retail decisions.

Key Responsibilities:

Apply generative AI and retrieval-augmented search to enable natural language analytics and self-serve insights for our users (suppliers and merchants)

Develop predictive and prescriptive models (e.g., anomaly detection, forecasting, regression, classification).
Build, evaluate, and deploy machine learning models in Vertex AI / GCP with production-grade MLOps practices.
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.

Partner with product managers, merchants, and suppliers to design

experiments (A/B testing, causal inference) and measure business impact.

Translate insights into clear, actionable recommendations through visualizations, dashboards (Looker), and storytelling.
Contribute to the evolution of Askuity’s AI strategy by researching and piloting new techniques in time series forecasting, LLM-based analytics, and Agentic AI.

Competencies:

Drives purpose and vision
Manages complexity
Strategic mindset
Drives engagement
Collaborates

Skills:

Advanced proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.
Experience with cloud-native agentic frameworks (preferably GCP: BigQuery, Vertex AI, Looker).
Strong background in statistical modeling, machine learning, and experimental design.
Familiarity with GenAI/LLMs for analytics, including prompt engineering, RAG, and embedding-based retrieval.
Experience deploying models and maintaining them through the full MLOps lifecycle.

Direct Manager

Reports to Sr. Manager, Data Science

Physical Requirements:

Extended Sitting
Repetitive Tasks

Working Conditions:

Working in an office setting: computer work, camera on virtual meetings

Minimum Education:

Undergraduate degree in a quantitative field

Minimum Years of Work Experience:

3+ years

Minimum Leadership Experience:

Certifications:

Other Requirements/Assets:

Experience with retail, merchandising, supply chain, or CPG analytics.
Strong communication skills to present complex analyses to technical and non-technical audiences.
Ability to work cross-functionally with business stakeholders to prioritize and deliver high-value use cases.
Experience in product management
Contributions to open-source or applied ML research.

------------------------------------------------------------------------

Description du poste

The pay range for this position is between $62,200.00 - $70,100.00

Read the full bilingual original

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Key Responsibilities:

Apply generative AI and retrieval-augmented search to enable natural language analytics and self-serve insights for our users (suppliers and merchants)

Develop predictive and prescriptive models (e.g., anomaly detection, forecasting, regression, classification).
Build, evaluate, and deploy machine learning models in Vertex AI / GCP with production-grade MLOps practices.
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.

Partner with product managers, merchants, and suppliers to design

experiments (A/B testing, causal inference) and measure business impact.

Translate insights into clear, actionable recommendations through visualizations, dashboards (Looker), and storytelling.
Contribute to the evolution of Askuity’s AI strategy by researching and piloting new techniques in time series forecasting, LLM-based analytics, and Agentic AI.

Competencies:

Drives purpose and vision
Manages complexity
Strategic mindset
Drives engagement
Collaborates

Skills:

Advanced proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.
Experience with cloud-native agentic frameworks (preferably GCP: BigQuery, Vertex AI, Looker).
Strong background in statistical modeling, machine learning, and experimental design.
Familiarity with GenAI/LLMs for analytics, including prompt engineering, RAG, and embedding-based retrieval.
Experience deploying models and maintaining them through the full MLOps lifecycle.

Direct Manager

Reports to Sr. Manager, Data Science

Physical Requirements:

Extended Sitting
Repetitive Tasks

Working Conditions:

Working in an office setting: computer work, camera on virtual meetings

Minimum Education:

Undergraduate degree in a quantitative field

Minimum Years of Work Experience:

3+ years

Minimum Leadership Experience:

Certifications:

Other Requirements/Assets:

Experience with retail, merchandising, supply chain, or CPG analytics.
Strong communication skills to present complex analyses to technical and non-technical audiences.
Ability to work cross-functionally with business stakeholders to prioritize and deliver high-value use cases.
Experience in product management
Contributions to open-source or applied ML research.

------------------------------------------------------------------------

Description du poste

Basée à Toronto, Askuity est une entreprise offrant une plateforme logicielle d’analyse en commerce de détail qui exerce ses activités en tant que division de Home Depot. Par l’entremise du programme d’analyse des fournisseurs, sa mission est de permettre aux fournisseurs et aux négociants de Home Depot de prendre des décisions rentables fondées sur des données et d’assurer l’exécution des initiatives en temps réel.

À titre de scientifique des données au sein de l’équipe d’Askuity, le titulaire de ce poste conçoit, élabore et déploie de l’analytique avancée ainsi que des solutions d’apprentissage automatique qui auront une incidence mesurable pour Home Depot et ses fournisseurs. Cette personne est passionnée par la transformation des défis complexes liés au commerce de détail, au marchandisage et à la chaîne d’approvisionnement en stratégies guidées par les données. Elle s’épanouit dans des environnements où les activités se déroulent à un rythme rapide, elle sait concilier les connaissances techniques avec son sens des affaires et est motivée par le fait que ses modèles alimentent des décisions en matière de vente au détail en contexte réel.

Principales responsabilités

Mettre en application l’intelligence artificielle (IA) générative et la génération à enrichissement contextuel pour permettre l’analyse du langage naturel et les analyses en libre-service pour nos utilisateurs (fournisseurs et négociants).

Élaborer des modèles prédictifs et prescriptifs (p. ex., détection d’anomalies, prévisions, régression, classification).
Élaborer, évaluer et déployer des modèles d’apprentissage automatique dans Vertex AI (Google Cloud Platform) avec des pratiques d’opérations d’apprentissage automatique de qualité production.
Concevoir des pipelines de fonctionnalités robustes dans Airflow et concevoir des produits de données réutilisables pour des analyses et des cas d’usage de l’apprentissage automatique.

Collaborer avec les chefs de produit, les négociants et les fournisseurs pour concevoir des essais (tests A/B, inférence causale) et mesurer les répercussions sur l’entreprise.

Traduire les indicateurs en recommandations claires et exploitables par l’entremise de visualisations, de tableaux de suivi (Looker) et de récits.
Contribuer à l’évolution de la stratégie d’Askuity en matière d’IA en effectuant des recherches et en mettant à l’essai de nouvelles techniques de prévision des séries chronologiques, d’analyses basées sur les grands modèles de langage (modèles LLM) et d’IA agentive.

Compétences

Orientation de la vision et des objectifs.
Gestion de la complexité.
Esprit stratégique.
Stimulation de l’engagement.
Collaboration.

Aptitudes

Excellente maîtrise de Python (pandas, scikit-learn, TensorFlow, PyTorch) et de SQL.
Expérience avec les infrastructures infonuagiques d’IA agentive (de préférence Google Cloud Platform : BigQuery, Vertex AI et Looker).
Solide expérience en modélisation statistique, en apprentissage automatique et en conception expérimentale.
Connaissance de l’IA générative et des grands modèles de langage (modèles LLM) pour l’analyse, y compris l’ingénierie de requêtes, la génération augmentée par récupération et la récupération de données intégrées.
Expérience dans le déploiement des modèles et leur maintenance dans le cadre du cycle de vie complet des opérations d’apprentissage machine.

Supérieur immédiat ou subordonnés

Supérieur immédiat : directeur principal, Science des données.

Exigences relatives aux déplacements

Déplacements limités.
Déplacement au siège social chaque année, sur demande.

Exigences physiques

Position assise pendant des périodes prolongées.
Tâches répétitives.

Conditions de travail

Travail de bureau : ordinateur et caméra pour les réunions.

Exigences de base

Diplôme universitaire de premier cycle dans un domaine connexe.

Expérience professionnelle

Au moins trois ans.

Expérience en direction

s. o.

Accréditations

s. o.

Autres exigences

Expérience relative à la vente au détail, au marchandisage, à la chaîne d’approvisionnement ou à l’analyse des biens de consommation courante.
Excellentes aptitudes pour la communication afin de présenter des analyses complexes à des équipes techniques et non techniques.
Capacité à travailler de façon interfonctionnelle avec les intervenants de l’entreprise afin d’établir des priorités et d’offrir des cas d’usage de grande valeur.
Expérience en gestion de produits.
Contributions à du code source ouvert et recherche en apprentissage automatique appliqué.

The pay range for this position is between $62,200.00 - $70,100.00

Apply on homedepot.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

The Data Scientist will design, build, and deploy advanced machine learning solutions, including generative AI and predictive models, to drive data-driven retail decisions. They will also collaborate with cross-functional teams to conduct experiments and translate complex insights into actionable business strategies.

Requirements

Candidates must have at least 3 years of work experience and an undergraduate degree in a quantitative field. Proficiency in Python, SQL, and cloud-native AI frameworks, along with experience in retail or supply chain analytics, is required.

Skills

Python
SQL
Pandas
Scikit-learn
TensorFlow
PyTorch
BigQuery
Vertex AI
Looker
Machine Learning
Statistical Modeling
Generative AI
LLMs
Prompt Engineering
RAG
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Retail Analytics
Machine Learning
Generative AI
Python
SQL
Vertex AI
BigQuery
Looker
Airflow
MLOps
Predictive Modeling
Prescriptive Modeling
Anomaly Detection
Time Series Forecasting
Agentic AI
RAG
Prompt Engineering
A/B Testing
Causal Inference
Supply Chain
Merchandising
Data Products
Feature Pipelines
Cloud Computing
GCP

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Jobs in Canada