Support loyalty analytics with predictive modeling, Python, and SQL at Loblaw Companies Limited, contributing to customer engagement and personalization.
This Data Scientist Analyst role supports machine learning and advanced analytics across Business & Customer Insights. You will prepare data, develop customer segmentation and targeting methodologies, and evaluate campaign performance through experimentation. Collaboration is central as you translate business challenges into analytical solutions and communicate findings that guide decisions. The work also includes reusable analytical tools and automated workflows.
Key Responsibilities:
Develop and enhance predictive models across business projects
Support customer segmentation, targeting, and feature engineering
Measure campaigns through A/B testing and performance evaluation
Translate business challenges into analytical solutions
Create reusable tools and automated analytical workflows
Requirements:
One or more years of relevant data science experience
Degree in Data Science, Statistics, Mathematics, or related field
Hands-on Python and SQL experience
Understanding of statistical modeling and machine learning development
Solid analytical thinking, problem-solving, and communication skills
Use predictive analytics, experimentation, and customer segmentation to help strengthen loyalty and personalization initiatives at Loblaw.