Sobeys Employment – Data Scientist

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:

• Write production ready code that will be reviewed by other team members and review their code
• 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
• Researching, building, training, serving, and monitoring of machine learning (ML) models
• Work with MLEs to scale, automate and optimize ML pipelines
• 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 BI team to create dashboards that monitor performance of your ML systems
• 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

Job Requirements:

• 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 BI team to create dashboards that monitor performance of your ML systems
• Researching, building, training, serving, and monitoring of machine learning (ML) models
• Write production ready code that will be reviewed by other team members and review their code
• 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 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 MLEs to scale, automate and optimize ML pipelines

Job Details:

Company: Sobeys

Vacancy Type:  Full Time

Job Location: Montreal, QC, CA

Application Deadline: N/A

Apply Here

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