Scientifique Des Données, Askuity

Vous aimez aider les autres à réussir et laisser votre marque? Vous éprouvez de la fierté à guider les clients vers les bonnes solutions pour leurs projets? Si, en plus de cela, vous êtes de nature curieuse et souhaitez acquérir de nouvelles connaissances, envisagez de commencer ou de faire progresser votre carrière chez 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.

• 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.

• Drives purpose and vision
• Manages complexity
• Strategic mindset
• Drives engagement
• Collaborates

• Advanced proficiency in Python (pandas, scikit-learn, Tensor Flow/PyTorch) and SQL.
• Experience with cloud-native agentic frameworks (preferably GCP: Big Query, 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

• Extended Sitting
• Repetitive Tasks

• 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:

N/A

Certifications:

N/A

• 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.

• 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 prescript ifs (p. ex., détection d’anomalies, prévisions, régression, classification).
• Élaborer, évaluer…