Food scientist Jobs in East York, ON

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

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.

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.

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.

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