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Data Scientist

Toronto, Ontario
CA$105,000 - CA$135,000/yearly
JobCard.seniorityLevels.mid_level
JobCard.employmentTypes.full_time

Top Benefits

Semi-annual performance bonuses
Deferred profit‑sharing retirement plan
Comprehensive paid benefits

About the role

Pay Range: $105,000 - $135,000 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. With a career at The Home Depot, you can be yourself and also be part of something bigger. Job Description Title: Data Scientist

Position Overview The Data Scientist is a key member of the Advanced Analytics team, responsible for developing and deploying advanced statistical and machine‑learning models that support high‑impact business decisions. This role focuses on transforming large‑scale, complex datasets into predictive insights that improve demand forecasting, inventory decisions, pricing strategies, and overall retail performance.

Key Responsibilities Actionable Deliverable: Predictive Modeling & Advanced Analytics

  • Design, build, optimize, and maintain scalable, production‑ready forecasting and machine‑learning models.
  • Develop time‑series models to predict customer demand at multiple levels of granularity.
  • Design and execute “what‑if” scenarios to assess the impact of changes in pricing, promotions, and inventory on demand and profitability.

Actionable Deliverable: Data Preparation & Feature Engineering

  • Identify, clean, and engineer features such as seasonality, trends, promotional uplift, cannibalization effects, competitor activity, and macroeconomic drivers.
  • Analyze and synthesize large‑scale datasets from multiple internal and external sources to support modeling efforts.

Actionable Deliverable: Collaboration, Deployment & Monitoring

  • Partner with business stakeholders to translate business questions into analytical solutions.
  • Collaborate with Data Engineering to ensure access to reliable, scalable data pipelines.
  • Work with MLOps teams to support model deployment, performance monitoring, and ongoing recalibration as data or business conditions evolve.

Competencies

  • Advanced analytical and quantitative reasoning
  • Business partnership and communication

Skills

  • Statistical modeling and machine‑learning techniques
  • Data storytelling and insight translation

Direct Manager / Direct Reports

  • Reports to: Manager, Data Science

Travel Requirements

  • Minimal

Physical Requirements

  • Standard office environment; extended computer and data analysis work

Working Conditions

  • Office environment
  • In person 5 days a week

Minimum Education

  • Master’s degree or Ph.D. in Data Science, Statistics, Operations Research, Economics, Computer Science, or a related quantitative field
  • Equivalent practical experience may be considered

Minimum Years Of Work Experience

  • 3+ years of professional experience in data science, analytics, or statistical modeling

Minimum Leadership Experience

  • Not required

Certifications

  • None required

Other Requirements / Assets

  • Strong proficiency in Python and SQL, with experience using common data science libraries (e.g., Pandas, Scikit‑learn, TensorFlow, PyTorch)
  • Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage)
  • Expertise in time‑series forecasting and statistical modeling techniques
  • Experience with optimization methods and algorithms
  • Knowledge of retail analytics, including demand forecasting, pricing, inventory, and promotions
  • Familiarity with A/B testing, experimental design, and causal inference methodologies
  • Ability to communicate complex technical findings to non‑technical stakeholders

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.

About Home Depot Canada

Retail Furniture and Home Furnishings
5001-10,000

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.