Job Description
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Requisition ID: 183217
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
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 131,000 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.
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.
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.
Here’s where you’ll be focusing:
- Research, build, train, serve, and monitor 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
What you have to offer:
- Master's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
- 3+ years of experience in implementation and productionization of measurement methodologies specifically Bayesian paradigm for AB testing in retail setting using frameworks like PyMC.
- 3+ years of experience in building and productionization marketing mixture models in retail or similar settings.
- 3+ years of hands-on experience in developing end-to-end machine-learning algorithms in cloud or distributed environments using Python.
- Experience with distributed ML platforms using GPUs in cloud using packages like MLFlow, TensorFlow or PyTorch.
- 3+ years of experience manipulating large datasets using Spark.
- 3+ years of experience in cloud CI/CD environments, such as Azure DevOps or Airflow.
- Proven ability to engage with stakeholders to gather requirements and communicate updates effectively.
- Creative mindset, excellent communication skills, and the ability to create and manage ML pipelines with minimal guidance.
- Experience in building and productionization of customer lifetime value models would be a great advantage as well.
- Familiarity with building personalization algorithms for product recommender is an important asset.
- Familiarity with Cloud Environments, specifically Databricks, is a significant asset.
- Experience in Retail or similar settings is an additional asset.
#LI-Hybrid #LI-LM1
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.