Data Scientist

Data Scientist Career Opportunity at Sobeys Inc.

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., recognized among Canada’s Top 100 employers. At Sobeys, your talents contribute to our unwavering commitment to excellence and community impact. Join our family of 131,000 employees and franchise affiliates, all dedicated to delivering exceptional shopping experiences and amazing food to our customers.

As a proudly Canadian company, Sobeys originated in Nova Scotia and has grown to over 1,600 stores across all 10 provinces. Whether you know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, or Lawtons Drug Stores, we are united as one extended family.

Ready to Make an Impact?

The Advanced Analytics team at Sobeys is at the forefront 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. Our work is transforming how Sobeys and its family of banners interact with customers and operate their businesses.

We utilize the latest cloud technologies and advanced analytical techniques to connect the dots between customer behavior and business operations. Our insights drive customer engagement, sales growth, and profitability, directly affecting the daily lives of millions of Canadian consumers.

Responsibilities

• Research, build, train, serve, and monitor machine learning (ML) models.
• Collaborate with Machine Learning Engineers (MLEs), Data Engineers (DEs), and other Data Scientists to create and manage end-to-end ML pipelines in Azure cloud development environment.
• Write production-ready code and participate in peer code review processes.
• Work with MLEs to scale, automate, and optimize ML pipelines.
• Collaborate with DEs on ETL processes in a big data environment encompassing billions of rows of retail data.
• Engage with various business stakeholders to understand needs and develop solutions via machine learning and advanced analytics techniques.
• Create dashboards in partnership with the BI team to monitor ML system performance.

Qualifications

• Master's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• 3+ years of experience implementing measurement methodologies, specifically Bayesian paradigm for AB testing in retail using frameworks like PyMC.
• 3+ years of experience with marketing mix models in retail or similar settings.
• 3+ years of hands-on experience with end-to-end machine learning algorithms in cloud or distributed environments using Python.
• Experience with distributed ML platforms like MLFlow, TensorFlow, or PyTorch using GPUs in cloud environments.
• 3+ years working with large datasets using Spark.
• Proficiency in cloud CI/CD environments such as Azure DevOps or Airflow.
• Proven ability to engage with stakeholders for requirements gathering and effective communication.
• Creative problem-solving skills and ability to manage ML pipelines independently.
• Experience with customer lifetime value models is advantageous.
• Experience with personalization algorithms for product recommendations is a valuable asset.
• Familiarity with Databricks and cloud environments is an asset.
• Experience in retail or similar environments is beneficial.

#LI-Hybrid #LI-LM1

At Sobeys, our hybrid work model requires your presence at one of our office locations at least three days per week, fostering team collaboration and a successful office culture.

Total Rewards Package

Our comprehensive Total Rewards package helps our teammates live better physically, financially, and emotionally. While some websites provide salary estimates without our input, we ensure fair and competitive compensation based on factors such as location, experience, skills, internal equity, and market conditions. We will discuss specific compensation details with candidates moving forward in the hiring process.

Benefits Include:

• Competitive health and dental coverage, life insurance, short- and long-term disability insurance.
• Access to Virtual Health Care Platform and Employee and Family Assistance Program.
• Retirement and Savings Plan for financial growth.