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.

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.

Job Responsibilities:

• Work with MLEs to scale, automate and optimize ML pipelines
• Write production ready code that will be reviewed by other team members and review their code
• Researching, building, training, serving, and monitoring of machine learning (ML) models
• 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
• 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 closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques

Job Requirements:

• Experience with Cloud Environment, specifically Databricks and Azure is a big an asset
• Experience with manipulating big data sets via Spark or SQL (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.
• Experience in Retail or similar settings is an asset
• Working with distributed ML platforms like Spark ML, ML Flow, TensorFlow, … (3+ years)
• Experience with working with cloud CI/CD environments, e.g. Azure DevOps environment or Bitbucket Pipelines (3+ years)
• Experience with Cloud Environment, specifically Databricks and Azure is a big an asset
• Experience building executive levels dashboards in Tableau or other similar tools like Google Data Studio (2+ years)
• Masters or higher post graduate degrees in Computer Science, Engineering, Statistics, Mathematics, or related technical field.
• Being creative, very good communicator and ability to create and manage ML pipelines with minimal guidance

Job Details:

Company: Sobeys

Vacancy Type:  Full Time

Job Location: Stellarton, NS, CA

Application Deadline: N/A

Apply Here

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