Manager, Data Science (Askuity division)

The Home Depot; Toronto; On-site; CAD 73,000 - 86,000; Full time

Job summary

The Home Depot's Askuity division in Toronto is seeking a Manager, Data Science to lead AI-enabled capabilities within Fusion, The Home Depot’s BI tool for suppliers. You will steer a team of data scientists and collaborate with product, design and engineering to elevate decision-making and insights generation.

Responsibilities include defining the AI roadmap, deploying GenAI, NLP, ML models, and maintaining data integrity and security across analytics processes, with a hybrid work model

Qualifications

• 5+ years in Data Science, ML, AI, or GenAI development with leadership experience.
• Experience delivering AI-powered solutions in a BI or analytics platform is preferred.
• Strong collaboration across product, design and engineering teams.

Responsibilities

• Lead and mentor a team of data scientists in AI-powered Fusion solutions.
• Define AI roadmap and strategy for predictive analytics and GenAI capabilities.
• Collaborate with product, design and engineering to embed advanced analytics.
• Design ML/NLP/LLM models, RAG, prompt engineering, and AI techniques for insights.

Skills

Python

R

SQL

ML frameworks

GenAI

LLMs

Prompt engineering

LangChain

LangGraph

LlamaIndex

OpenAI APIs

AWS

GCP

Azure

MLOps

Education

Bachelor’s or Master’s degree in Data Science/CS/Statistics

Ph.D. preferred

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI APIs

Job description

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:

Askuityis a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity’smission 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.

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:

• 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

Physical Requirements:

• None

Hybrid Work:

• 3 days per week in our downtown Toronto office
• (King / Spadina)

Working Conditions:

• Office

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

The pay range for this position is between $73,400.00 - $85,700.00