Job Description: 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 Responsibilities: Work with BI team to create dashboards that monitor performance of your ML systems Researching, building, training, serving, and monitoring of machine learning (ML) models 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 Write production ready code that will be reviewed by other team members and review their code 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 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 with MLEs to scale, automate and optimize ML pipelines Job Requirements: Being creative, very good communicator and ability to create and manage ML pipelines with minimal guidance Experience with manipulating big data sets via Spark or SQL (3+ years) Masters or higher post graduate degrees in Computer Science, Engineering, Statistics, Mathematics, or related technical field. Experience building executive levels dashboards in Tableau or other similar tools like Google Data Studio (2+ years) Experience with Cloud Environment, specifically Databricks and Azure is a big an asset Experience in Retail or similar settings is an asset Experience with working with cloud CI/CD environments, e.g. Azure DevOps environment or Bitbucket Pipelines (3+ years) Experience in developing end-to-end machine-learning algorithms in cloud or distributed environments using Python (or other similar languages like Java or Scala) at industrial level (3+ years) Strong understanding of various ML concepts, e.g., general linear models, time series analysis, cluster analysis, random forest, neural nets, etc. Working with distributed ML platforms like Spark ML, ML Flow, TensorFlow, … (3+ years) Experience with Cloud Environment, specifically Databricks and Azure is a big an asset Job Details: Company: Sobeys Vacancy Type: Full Time Job Location: Montreal, QC, CA Application Deadline: N/A Apply Here careers-trivia.net
Careers Trivia – Latest Jobs 2025