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 Manager, Data Science you will lead the development and integration of AI-enabled capabilities within Fusion, The Home Depot's Business Intelligence tool for suppliers. In this role, you will lead a team of data scientists and collaborate with cross-functional stakeholders to enhance decision-making and analytical capabilities within the platform. Your work will be instrumental in optimizing supplier performance, driving insights, and ensuring Home Depot suppliers can leverage data-driven strategies effectively.

Key Responsibilities
Lead and Mentor a team of data scientists in developing AI_powered solutions, including GenAI for Fusion
Define the roadmap and strategy to enhance predictive analytics, machine learning, GenAI capabilities, intelligent automation, and decision support functionalities
Collaborate with leaders from product management, design, and engineering to integrate advanced analytics into the BI tool




Design an implement machine learning models, NLP, LLM-powered applications, retrieval-augmented generation (RAG), prompt engineering, and other AI techniques to improve user experience and insights generation
Ensure data integrity, quality, and security across all analytics processes
Drive innovation by evaluating emerging AI technologies including foundation models, GenAI frameworks, agentic AI, and responsible AI practices
Measure and evaluate AI and GenAI solutions using business, technical, and model quality metrics while continuously optimizing performance

Skills
Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
GenAi applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and model evaluation techniques
AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernal, OpenAI APIs, or equivalent GenAI platforms
Cloud-based data platforms (GCP, AWS, Azure) and big data technologies
Statistical modelling and machine learning
Data management & engineering awareness
Programming and MLOps practices

📌 Data Science Manager Toronto
🏢 Askuity
📍 Toronto