Scientifique des données, askuity

Job Description
Askuity is a Toronto‑based retail analytics software company operating as a division of The Home Depot (THD). The company’s mission is to empower Home Depot suppliers and merchants with data‑driven decisions and real‑time execution through a supplier analytics program.

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, 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, 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.

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
None.

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.

Pay Range
The pay range for this position is between $62,200.00 – $70,100.00.

Description du poste (Français)
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.

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…