Data Scientist

Overview  Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country s largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.
As a Data Scientist on the Merchandise Analytics team, you will play a key role in leveraging our extensive PC Optimum data to drive strategic merchandising and customer targeting initiatives. You will focus primarily on customer loyalty while also gaining exposure to diverse areas within Retail and Merchandising. This is an exciting opportunity to translate complex customer data into actionable insights that deliver tangible value to our customers and drive incremental purchases.
Who You Are  You are an experienced professional with a proven track record of contributing to data driven projects. You excel at transforming customer data into impactful 1:1 insights. Technically, you are proficient in SQL and Python, and ideally have experience with cloud environments, particularly Google Cloud Platform (GCP) or similar.
What You ll Do    Campaign Management:
Design, deploy, and meticulously maintain targeted campaigns aimed at enhancing customer value and driving incremental sales.

Performance Measurement:
Analyze campaign results, derive key insights, and provide data-driven recommendations for continuous improvement.

POC Development:
Be a strong individual contributor who can quickly extract data and hash out working prototypes.

Analysis and Insights:
Develop powerful business insights from data using a range of analytical techniques including, but not limited to building predictive models that learn from and scale to massive data sets and the production of interactive data visualizations.

Compliance & Data Integrity:
Uphold strict adherence to legal and compliance guidelines, safeguarding sensitive and confidential customer information.

What You ll Bring

Education:

Bachelor s or Master s degree in an analytical field such as Computer Science, Mathematics, Statistics, Economics, Engineering, or a related discipline.

Experience:

3-5 years of experience in quantitative analysis roles, with demonstrated results.

Technical

Skills:

Strong proficiency in SQL and Python. Exposure to cloud environments is essential, with GCP experience preferred.

Data Expertise:
Proven experience working with large datasets and advanced analytical tools.

Core Competencies:

Exceptional critical thinking and problem-solving abilities.

Strong storytelling skills, capable of translating complex data into clear, compelling narratives.

Proactive initiative and the ability to thrive in a fast-paced, multi-tasking environment.

Meticulous attention to detail.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas.

Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada s Top Employers, Canada s Best Diversity Employers, Canada s Greenest Employers & Canada s Top Employers for Young People.
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team. We have a long-standing…