Data Scientist: Forecasting & Retail Analytics

The Home Depot Canada; Toronto; On-site; CAD 95,000 - 125,000; Full time

Job summary

A renowned retail company in Toronto is seeking an experienced Data Scientist to join their Advanced Analytics team. The role focuses on developing and deploying analytical models that support strategic business decisions. Candidates should have significant experience in statistical modeling and machine learning, along with strong proficiency in Python and SQL. A Master's degree or Ph.D. in a quantitative field is required, along with practical experience in data science. The position is in-person, operating from Toronto five days a week.

Benefits

Semi-annual bonuses

Deferred Profit-Sharing Program

Comprehensive paid benefits

15% discount on stock purchases

Merit-based salary increases

Qualifications

• 3+ years of professional experience in data science, analytics, or statistical modeling.
• Strong proficiency in Python and SQL, with experience using common data science libraries.
• Expertise in time-series forecasting and statistical modeling techniques.

Responsibilities

• Develop and deploy advanced statistical and machine-learning models.
• Design and execute predictive modeling scenarios for business decisions.
• Collaborate with stakeholders and data engineering teams for effective analytics.

Skills

Statistical modeling and machine-learning techniques

Data storytelling and insight translation

Python

SQL

Education

Master’s degree or Ph.D. in Data Science, Statistics, or a related field

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

Google Cloud Platform

Job description

A renowned retail company in Toronto is seeking an experienced Data Scientist to join their Advanced Analytics team. The role focuses on developing and deploying analytical models that support strategic business decisions. Candidates should have significant experience in statistical modeling and machine learning, along with strong proficiency in Python and SQL. A Master's degree or Ph.D. in a quantitative field is required, along with practical experience in data science. The position is in-person, operating from Toronto five days a week.