Data Scientist (Askuity division)

The Home Depot

Toronto

Hybrid

CAD 120,000 - 150,000

Full time

28 hours ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Semi-annual bonuses

Profit-sharing program

Comprehensive benefits

Stock purchase discount 15%

Merit-based salary increases

Job summary

The Home Depot Canada in Toronto is seeking a Data Scientist for the Askuity division to design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its suppliers. You will turn retail, merchandising, and supply chain challenges into data-driven strategies and power real-world decisions.

You will collaborate with product managers, merchants, and suppliers to craft experiments, implement time-series forecasting and LLM-enabled

Qualifications

Advanced proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.

Responsibilities

Apply generative AI and retrieval-augmented search to enable natural language analytics for suppliers and merchants.
Develop predictive and prescriptive models (anomaly detection, forecasting, regression, classification).
Build, evaluate, and deploy ML models in Vertex AI / GCP with production-grade MLOps practices.
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
Partner with product managers, merchants, and suppliers to design experiments (A/B testing, causal inference) and measure business impact.
Translate insights into clear, actionable recommendations through visualizations, dashboards (Looker), and storytelling.
Contribute to the evolution of Askuity’s AI strategy by researching and piloting new techniques in time series forecasting, LLM-based analytics, and Agentic AI.
Drives purpose and vision
Manages complexity
Strategic mindset

Skills

Python

SQL

Pandas

scikit-learn

TensorFlow/PyTorch

Looker

BigQuery

Vertex AI

Tools

GCP

Airflow

Job description

Data Scientist (Askuity division) at The Home Depot in Toronto, ONM5V 1K4

Job Description

Pay Range: $120,000 - $150,000

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.

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 Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its suppliers. You are passionate about turning complex retail, merchandising, and supply chain challenges into data-driven strategies. You thrive in fast-paced environments, balance technical depth with business intuition, and are motivated by seeing your models power real-world retail decisions.

Key Responsibilities:

Apply generative AI and retrieval-augmented search to enable natural language analytics and self-serve insights for our users (suppliers and merchants)

Develop predictive and prescriptive models (e.g., anomaly detection, forecasting, regression, classification).

Build, evaluate, and deploy machine learning models in Vertex AI / GCP with production-grade MLOps practices.

Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.

Partner with product managers, merchants, and suppliers to design

experiments (A/B testing, causal inference) and measure business impact.

Translate insights into clear, actionable recommendations through visualizations, dashboards (Looker), and storytelling.

Contribute to the evolution of Askuity’s AI strategy by researching and piloting new techniques in time series forecasting, LLM-based analytics, and Agentic AI.

Drives purpose and vision

Manages complexity

Strategic mindset

Skills:

Advanced proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.

Experience with cloud-native agentic frameworks (preferably GCP: BigQuery, Vertex AI, Looker).

Strong background in statistical modeling, machine learning, and experimental design.

Familiarity with GenAI/LLMs for analytics, including prompt engineering, RAG, and embedding-based retrieval.

Experience deploying models and maintaining them through the full MLOps lifecycle.

Direct Manager

Reports to Sr. Manager, Data Science

Physical Requirements:

Extended Sitting

Repetitive Tasks

Working Conditions:

Working in an office setting: computer work, camera on virtual meetings

Minimum Years of Work Experience:

3+ years

N/A

Certifications:

N/A

Other Requirements/Assets:

Experience with retail, merchandising, supply chain, or CPG analytics.

Strong communication skills to present complex analyses to technical and non-technical audiences.

Ability to work cross-functionally with business stakeholders to prioritize and deliver high-value use cases.

Experience in product management

Contributions to open-source or applied ML research.

------------------------------------------------------------------------

s.o.

In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for 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.

Our Core Values

Our associates are encouraged to initiative creative and innovative ways to serve our customers and improve the business as well as spread best practices throughout the company.

Taking Care of Our People

The key to our success is treating people well. We do this by encouraging associates to speak up and take risks, by recognizing and rewarding good performance and by leading and developing people so they may grow.

Respect For All People

In order to remain successful, our associates must work in an environment of mutual respect, free of discrimination and harassment where each associate is regarded as a part of The Home Depot Canada team.

Doing The Right Thing

We exercise good judgement by “doing the right thing” instead of just “doing things right.” We strive to understand the impact of our decisions and we accept responsibility for our actions.

Building Strong Relationships

Strong relationships are built on trust, honesty and integrity. We listen and respond to the needs of customers, associates, communities and vendors, treating them as partners.

Giving Back

An important part of the fabric of The Home Depot Canada is giving our time, talents, energy and resources to help strengthen the communities we live and work in.

Along with our quality products, service, price and selection, we must go the extra mile to give customers knowledgeable advice about merchandise and to help them use those products to their maximum benefit.

Creating Shareholder Value

The investors who provide the capital necessary to allow our company to grow need and expect a return on their investment. We are committed to providing it.