At Sobeys, we nurture the things that make life better – families, communities, and our employees. As a Data Scientist – Optimization – Retail Operations, you will be at the forefront of driving business value through advanced data science techniques focused on space optimization. You will collaborate with a multi-disciplinary team to develop and deploy optimization and machine learning models at scale for our retail operations.
What You'll Do
- Own the research, development, and continual improvement of optimization algorithms on the team.
- Research, build, train, serve, and monitor machine learning models.
- Collaborate with a small team of Data Scientists.
- Work closely with Machine Learning Engineers and Data Engineers to create and manage end-to-end ML pipelines in an 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 consisting 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 needs and develop solutions through machine learning or other advanced analytics techniques.
- Work with the BI team to create dashboards that monitor the performance of your ML systems.
What We're Looking For
- A Master's or PhD in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
- 2+ years of work experience with operations research/optimization and the productionization of optimization solutions.
- 2+ years of hands-on experience developing end-to-end machine-learning algorithms in cloud or distributed environments using Python, Java, or Scala.
- Strong experience with data manipulation using PySpark and SQL.
- 1+ years of experience in cloud CI/CD environments, such as Azure DevOps or Bitbucket Pipelines.
- 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.
- A commitment to staying up to date with the latest advancements in operations research and machine learning, and driving the adoption of best practices within the team.
Nice to Have
- Familiarity with Cloud Environments, specifically Databricks and Azure.
- Experience in Retail or similar settings.
- The curiosity to ask why explicit solutions were chosen, and the considerate ingenuity to deliver opportune innovations.
Technical Stack
- Languages: Python, Java, Scala
- Data Tools: PySpark, SQL
- Platforms: Azure, Databricks, Azure DevOps, Bitbucket Pipelines
Team & Environment
You will be part of the Advanced Analytics team, a multi-disciplinary group of data scientists, engineers, developers, and analysts.
Work Mode
This role follows a hybrid work model and is based at the Sobeys COLAB Office in Toronto Downtown.
Our commitment to diversity, equity and inclusion (DE&I) is fuelled by our purpose and values. It shapes our culture and drives business success. Sobeys is an equal opportunity employer.
