Requisition ID:  187378 
Career Group:  Corporate Office Careers 
Job Category:  Data Science - Marketing 
Travel Requirements:  0 - 10%
Job Type:  Full-Time
 

 Country: Canada (CA) 
Province: Ontario  
City: Toronto
Location: Sobeys Innovation Hub

 
Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.

Our family of 128,000 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 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family. 
 

Ready to Make an impact?

Job title - Data Science Analyst (7 months contract)

Location: Sobeys COLAB Office (Toronto Downtown) 

Team: Advanced Analytics

The Advanced Analytics team at Sobeys is at the forefront of retail innovation. Our multi-disciplinary team of data scientists, engineers, developers, and analysts designs, develops, and deploys scalable ML/AI solutions that are fundamentally transforming how Sobeys and its family of banners interact with customers and operate their businesses.

We leverage the latest cloud technologies and advanced analytical techniques to connect the dots between customer behavior and business operations, uncovering the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts millions of Canadian consumers and is a critical component of our mission to deliver an exceptional shopping experience.

What you’ll get to do in this role:

As Data Science Analyst in Advanced Analytics’ Marketing Team, you will have the opportunity to apply data science techniques and analytics to real-world business challenges in one of Canada’s largest retail organizations. As a Data Science Analyst, you will be a key contributor in advancing our machine learning and analytics capabilities. A crucial part of this role will be owning, managing, and continuously improving our Personalization code base, ensuring seamless coordination between teams to implement changes quickly and effectively.

Here’s where you’ll be focusing:

Responsibilities

• Help in the management of personalization codebase, ensuring it evolves to meet business needs by collaborating with Data Scientists, Engineers, and business stakeholders.
• Implement the enhancements and optimizations found in personalization ML models by Data Scientists that power customer recommendations and personalized experiences.
• Collaborate closely with Machine Learning Engineers (MLEs), Data Engineers (DEs), and fellow Data Scientists to build and manage end-to-end ML workflows within Databricks and Azure cloud environment.
• Write production-ready code and participate in peer code reviews to ensure best practices and maintainability.
• Help Data Scientists and MLEs to ensure robust and reliable model monitoring, evaluation, and reporting processes are in place to track model performance and continuously optimize outputs.
• Build various reports and dashboards using tools like Databricks dashboards to provide the analytics required for the Marketing management team. 
• Collaborate with the Business Intelligence (BI) team to help in monitoring and measurement of personalization ML system performance through dashboards and analytics.

#LI-Hybrid    #LI-VJ1

What you have to offer:

What you should bring to the team:

• Bachelor’s degree (or higher) in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
• Proficiency in Python, with experience following coding best practices (Git, Pull Requests, CI/CD pipelines, etc.).
• Having good knowledge in coding large scale Python or SQL code (PySpark, HiveQL, etc.)
• Hands-on experience in managing and evolving ML-driven customer engagement systems, particularly in personalization or recommendation engines.
• Strong understanding of ML techniques, including collaborative filtering, matrix factorization, clustering, regression, deep learning, decision trees, and etc.
• Experience with data visualization tools such as Databricks dashboards, Tableau or Looker.
• Ability to work independently in debugging and enhancing ML models to meet evolving business needs.
• Excellent communication skills, with the ability to explain and present complex technical concepts to both technical and non-technical stakeholders.

Nice-to-Have:

• Experience or certification for working with large-scale datasets, ML model building and deployment in Databricks or Snowflake. 
• Experience or certification developing ML models in Databricks and Spark environment (SparkML).
• Experience or certification with cloud environment like GCP, AWS, Azure, and cloud-based ML deployment (Azure ML, Vertex AI, Sagemaker).
• Experience in the Retail or similar industries like Consumer Goods is a plus, especially in the areas of marketing and customer analytics.
   

At Sobeys we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally. 

Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by our organization nor monitored for accuracy. 

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process. 

Our Total Rewards programs, for full-time teammates, goes well beyond your paycheque:

• Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.
• Access to Virtual Health Care Platform and Employee and Family Assistance Program.
• A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.
• A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.
• Learning and Development Resources to fuel your professional growth.
• Parental leave top-up
• Paid Vacation and Days-off

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