Share this Job

COVID-19 screening questions will be asked and documented during the interviewing process. Hiring decisions will require, among other criteria, a determination of low risk based on the answers.

Data Scientist Analyst

Requisition ID:  166624 

Career Group:  Corporate Office Careers 

Job Category:  Advanced Analytics 

Travel Requirements:  0 - 10%

Job Type:  Full-Time


Country: Canada (CA) 

Province: Ontario; British Columbia; Nova Scotia  

City: Toronto

Location: Sobeys Innovation Hub 

Postal Code: M5V 1X6 


Our family of 134,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.  


A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1500 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawton’s Drug Stores or another of our great banners but we are all one extended family. 


All career opportunities will be open a minimum of 5 business days from the date of posting.


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.

Job Description

In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations in one of the biggest retailers in Canada.  The Data Scientist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization.


  • Researching, building, training, serving, and monitoring of machine learning (ML) models
  • Work closely with Machine Learning Engineers (MLE), Data Engineers (DE), and other Data Scientists in the same team to create and manage end-to-end ML pipeline in Azure cloud development environment
  • Write production ready code that will be reviewed by other team members and review their code
  • Work with MLEs to scale, automate and optimize ML pipelines
  • Work with DEs to ETL in a big data environment consistent of billions of rows of retail data covering many banners, regions, and millions of customers
  • Work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques
  • Work with BI team to create dashboards that monitor performance of your ML systems

Job Requirements

  • Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or related technical field.
  • Experience with manipulating big data sets via SQL (6 months +)
  • Experience in developing end-to-end machine-learning algorithms in Spark environment is a big asset
  • Strong understanding of various ML concepts, e.g., general linear models, time series analysis, cluster analysis, random forest, neural nets, etc.
  • Being proficient in one programming language like python and experience with working with coding best practices in git, e.g., Pull Requests, …
  • Experience working with visualization environments like Tableau or Google Data Studio (6 months +)
  • Being creative, very good communicator and ability to create and manage ML pipelines with minimal guidance
  • Experience with Cloud Environment, specifically Databricks and Azure is a big an asset
  • Experience in retail or similar environment is an asset

Sobeys is committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.



While all responses are appreciated only those being considered for interviews will be acknowledged.


We appreciate the interest from the Staffing industry however respectfully request no calls or unsolicited resumes from Agencies.