Manager, Data Science (Askuity division)
Top Benefits
About the role
Pay Range: $130,000 - $160,000
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.
Position Overview
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.
Responsibilities
Key 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.
Competencies
Business acumen
Product thinking Data storytelling Problem-solving, analytical thinking Strategic planning Team leadership Cross-functional collaboration Talent development Influencing skills and stakeholder management Executive communication
Skills
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 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
Direct Manager
Reports to Director, Product Management
Requirements
Physical Requirements
None
Hybrid Work
3 days per week in our downtown Toronto office (King / Spadina)
Working Conditions
Office
Education
Minimum Education
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D. preferred.
Minimum Years Of Work Experience
5+ years of experience in Data Science, Machine Learning, AI, or GenAI application development, with at least 2 years leading technical teams.
Minimum Leadership Experience
2 years
Certifications
None
In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada usesArtificial Intelligence (AI) technology to assist with the screening and assessment of applicantsfor this position. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.
Not the right fit? Search for Manager, Data Science jobs in Toronto, Ontario, Canada
About The Home Depot Canada
About The Home Depot Canada
The Home Depot Canada is the Canadian arm of the world’s largest home improvement retailer. The company has 182 stores in 10 Canadian provinces, employing more than 30,000 associates from coast-to-coast.
Our company is the largest home improvement retailer in Canada, the U.S. and Mexico. Our global expansion demonstrates how The Home Depot combines its vast knowledge of the home improvement industry with the needs, shopping trends and customs of each unique geography to best serve customers.
Based out of our dynamic Toronto-based Store Support Centre, we have many opportunities available for corporate professionals seeking a big challenge with great rewards. Our high-performing team consists of marketing and communication specialists, the industry’s best product merchants, and experts in financial and inventory planning. We also have exciting opportunities within our Supply Chain team including positions at our Distribution Centres.
The Home Depot’s values are the fabric of the company's unique culture and are central to our success. In fact, they are our competitive advantage in the marketplace. Associate pride and our "orange blooded" entrepreneurial spirit are distinctive hall marks of our company.
With our unprecedented growth, there's no better time to build your career at The Home Depot Canada
Similar Jobs
Manager, Data Science (Askuity division)
Top Benefits
About the role
Pay Range: $130,000 - $160,000
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.
Position Overview
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.
Responsibilities
Key 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.
Competencies
Business acumen
Product thinking Data storytelling Problem-solving, analytical thinking Strategic planning Team leadership Cross-functional collaboration Talent development Influencing skills and stakeholder management Executive communication
Skills
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 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
Direct Manager
Reports to Director, Product Management
Requirements
Physical Requirements
None
Hybrid Work
3 days per week in our downtown Toronto office (King / Spadina)
Working Conditions
Office
Education
Minimum Education
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D. preferred.
Minimum Years Of Work Experience
5+ years of experience in Data Science, Machine Learning, AI, or GenAI application development, with at least 2 years leading technical teams.
Minimum Leadership Experience
2 years
Certifications
None
In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada usesArtificial Intelligence (AI) technology to assist with the screening and assessment of applicantsfor this position. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.
Not the right fit? Search for Manager, Data Science jobs in Toronto, Ontario, Canada
About The Home Depot Canada
About The Home Depot Canada
The Home Depot Canada is the Canadian arm of the world’s largest home improvement retailer. The company has 182 stores in 10 Canadian provinces, employing more than 30,000 associates from coast-to-coast.
Our company is the largest home improvement retailer in Canada, the U.S. and Mexico. Our global expansion demonstrates how The Home Depot combines its vast knowledge of the home improvement industry with the needs, shopping trends and customs of each unique geography to best serve customers.
Based out of our dynamic Toronto-based Store Support Centre, we have many opportunities available for corporate professionals seeking a big challenge with great rewards. Our high-performing team consists of marketing and communication specialists, the industry’s best product merchants, and experts in financial and inventory planning. We also have exciting opportunities within our Supply Chain team including positions at our Distribution Centres.
The Home Depot’s values are the fabric of the company's unique culture and are central to our success. In fact, they are our competitive advantage in the marketplace. Associate pride and our "orange blooded" entrepreneurial spirit are distinctive hall marks of our company.
With our unprecedented growth, there's no better time to build your career at The Home Depot Canada