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Askuity

Data Science Manager

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

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

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More about this job

Responsibilities

Lead and mentor a data science team developing AI-enabled capabilities for Fusion, including predictive analytics, machine learning, generative AI, intelligent automation, and decision support. Partner with product, design, and engineering teams to integrate and evaluate AI solutions, maintain data quality and security, and improve supplier insights and performance.

Requirements

The role calls for experience with Python, R, SQL, statistical modeling, machine learning frameworks, and cloud-based data platforms. It also requires expertise in generative AI techniques and tools, including LLMs, prompt engineering, retrieval-augmented generation, embeddings, vector databases, model evaluation, and MLOps practices.

Skills

Python
R
SQL
Machine Learning
TensorFlow
PyTorch
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Natural Language Processing
LangChain
Cloud Data Platforms
Statistical Modeling
MLOps
Data Management

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Generative AI
Fusion
Business Intelligence
Supplier Analytics
Predictive Analytics
Machine Learning
Natural Language Processing
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Embeddings
Vector Databases
LangChain
LangGraph
LlamaIndex
Semantic Kernel
OpenAI APIs
TensorFlow
PyTorch
Python
R
SQL
GCP
AWS
Azure
Big Data
MLOps
Responsible AI

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