Manager, Data Science (Askuity division)
About The Position
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 (BI) 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.
Requirements
- 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 Kernel, OpenAI APIs, or equivalent enterprise GenAI platforms
- Cloud-based data platforms (AWS, GCP, Azure) and big data technologies
- Statistical modeling and machine learning
- Data management & engineering awareness
- Programming and MLOps practices
- 5+ years of experience in Data Science, Machine Learning, AI, or GenAI application development
- At least 2 years leading technical teams
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Nice To Haves
- Ph.D. preferred.
Responsibilities
- Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
- Define the AI roadmap and strategy to enhance predictive analytics, machine learning, Gen AI 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 and 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.
- Communicate findings and AI-driven solutions to senior leadership and stakeholders in a clear and impactful manner.
- Measure and evaluate AI and GenAI solutions using business, technical, and model quality metrics while continuously optimizing performance.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
