Data science manager (Toronto)

Data science manager (Toronto)

24 Oct
|
Askuity
|
Toronto

24 Oct

Askuity

Toronto

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 Gen AI for Fusion
Define the 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 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, Gen AI frameworks, agentic AI, and responsible AI practices
Measure and evaluate AI and Gen AI solutions using business, technical, and model quality metrics while continuously optimizing performance
Skills: Python, R, SQL, and machine learning frameworks such as Tensor Flow or Py Torch
Gen Ai applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and model evaluation techniques
AI frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernal, Open AI APIs, or equivalent Gen AI platforms
Cloud-based data platforms (GCP, AWS, Azure) and big data technologies
Statistical modelling and machine learning

📌 Data science manager (Toronto)
🏢 Askuity
📍 Toronto

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: data science manager (toronto) / toronto

Subscribe to this job alert:

Get the latest job offers by email for: data science manager (toronto) / toronto