Pay Range: $120,000 - $150,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

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.

Pay Range: $120,000 - $150,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

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 quick-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.

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

Education

Minimum Education:

• Undergraduate degree in a quantitative field

Minimum Years Of Work Experience

• 3+ years

Minimum Leadership Experience

• N/A

Certifications

• N/A

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

Basee a Toronto, Askuity est une entreprise offrant une plateforme logicielle d’analyse en commerce de detail qui exerce ses activites 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 negociants de Home Depot de prendre des decisions rentables fondees sur des donnees et d’assurer l’execution des initiatives en temps reel.

À titre de scientifique des donnees au sein de l’equipe d’Askuity, le titulaire de ce poste conçoit, elabore et deploie de l’analytique avancee ainsi que des solutions d’apprentissage automatique qui auront une incidence mesurable pour Home Depot et ses fournisseurs. Cette personne est passionnee par la transformation des defis complexes lies au commerce de detail, au marchandisage et a la chaine d’approvisionnement en strategies guidees par les donnees. Elle s’epanouit dans des environnements ou les activites se deroulent a un rythme rapide, elle sait concilier les connaissances techniques avec son sens des affaires et est motivee par le fait que ses modeles alimentent des decisions en matiere de vente au detail en contexte reel.

Principales responsabilites

Mettre en application l’intelligence artificielle (IA) generative et la generation a enrichissement contextuel pour permettre l’analyse du langage naturel et les analyses en libre-service pour nos utilisateurs (fournisseurs et negociants).

• Élaborer des modeles predictifs et prescriptifs (p. ex., detection d’anomalies, previsions, regression, classification).
• Élaborer, evaluer et deployer des modeles d’apprentissage automatique dans Vertex AI (Google Cloud Platform) avec des pratiques d’operations d’apprentissage automatique de qualite production.
• Concevoir des pipelines de fonctionnalites robustes dans Airflow et concevoir des produits de donnees reutilisables pour des analyses et des cas d’usage de l’apprentissage automatique.

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

• Traduire les indicateurs en recommandations claires et exploitables par l’entremise de visualisations, de tableaux de suivi (Looker) et de recits.
• Contribuer a l’evolution de la strategie d’Askuity en matiere d’IA en effectuant des recherches et en mettant a l’essai de nouvelles techniques de prevision des series chronologiques, d’analyses basees sur les grands modeles de langage (modeles LLM) et d’IA agentive.

Competences

• Orientation de la vision et des objectifs.
• Gestion de la complexite.
• Esprit strategique.
• Stimulation de l’engagement.
• Collaboration.

Aptitudes

• Excellente maitrise de Python (pandas, scikit-learn, TensorFlow, PyTorch) et de SQL.
• Experience avec les infrastructures infonuagiques d’IA agentive (de preference Google Cloud Platform : BigQuery, Vertex AI et Looker).
• Solide experience en modelisation statistique, en apprentissage automatique et en conception experimentale.
• Connaissance de l’IA generative et des grands modeles de langage (modeles LLM) pour l’analyse, y compris l’ingenierie de requetes, la generation augmentee par recuperation et la recuperation de donnees integrees.
• Experience dans le deploiement des modeles et leur maintenance dans le cadre du cycle de vie complet des operations d’apprentissage machine.

Superieur immediat ou subordonnes

• Superieur immediat : directeur principal, Science des donnees.

Exigences relatives aux deplacements

• Deplacements limites.
• Deplacement au siege social chaque annee, sur demande.

Exigences physiques

• Position assise pendant des periodes prolongees.
• Taches repetitives.

Conditions de travail

• Travail de bureau : ordinateur et camera pour les reunions.

Exigences de base

• Diplome universitaire de premier cycle dans un domaine connexe.

Experience professionnelle

• Au moins trois ans.

Experience en direction

• s. o.

Accreditations

• s. o.

Autres exigences

• Experience relative a la vente au detail, au marchandisage, a la chaine d’approvisionnement ou a l’analyse des biens de consommation courante.
• Excellentes aptitudes pour la communication afin de presenter des analyses complexes a des equipes techniques et non techniques.
• Capacite a travailler de façon interfonctionnelle avec les intervenants de l’entreprise afin d’etablir des priorites et d’offrir des cas d’usage de grande valeur.
• Experience en gestion de produits.
• Contributions a du code source ouvert et recherche en apprentissage automatique applique.

In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for this position.