Data Scientist

Company: Sobeys

Location: Toronto, ON M5V 1X6

Type: Full-time

Level: mid

Posted: 2026-03-11

About this role

Ready to Transform Retail? Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers where your unique contributions drive success.


Ready to Make an impact?


Job Title: Data Scientist - Optimization - Retail Operations


Location: Sobeys COLAB Office (Toronto Downtown)


Team: Advanced Analytics


The Advanced Analytics team at Sobeys operates on the frontlines of retail innovation. We are a multi-disciplinary team of data scientists, engineers, developers, and analysts who design, develop, and deploy high-impact, scalable ML/AI solutions that are fundamentally transforming how Sobeys and its family of banners interact with customers and plan and operate their businesses.

We leverage the latest cloud tech and advanced analytical techniques to connect the dots between customer behaviour and business operations and unearth the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts the daily lives of millions of Canadian consumers and is a key pillar in our mission to deliver a best-in-class shopping experience for our customers.


Here’s where you’ll be focusing:
As the Data Scientist – Optimization – Retail Operations, you will be at the forefront of driving business value through advanced data science techniques in retail operations with a focus on space optimization. You will collaborate in a team of data scientists focused on developing and deploying optimization models and machine learning models at scale. You will understand and predict optimal in-store shelf space, and the optimal product on shelves of our customers’ needs.


Responsibilities:

  • Own the research, development, and continual improvement of optimization algorithms on the team.
  • Research, build, train, serve, and monitor machine learning (ML) models.
  • Collaborate with a small team of Data Scientists.
  • Work closely with Machine Learning Engineers (MLE) and Data Engi...

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