Manager, Applied Machine Learning

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians. 
Reporting to the Director, Data Science, the Manager, Applied Machine Learning leads a team of machine learning engineers and data scientists to build predictive models that solve real problems for the business, both for our customers and internal stakeholders. The data science organization at Loblaw Digital drives customer experience both through creating highly relevant content via search or personalization in our web and mobile applications, via driving our Adtech business, and through forecasting used to optimize labor and availability, which have significant impact upon a customer’s interaction with the physical business at delivery and pickup. You’ll play a leading role in deciding what technologies we use and what things we build, working closely with product and software development teams to imagine best-of-breed solutions that drive our business forward. You’ll work alongside a talented team with diverse backgrounds and a broad spectrum of skills, and have the benefit of an industry-leading tech stack that uses cloud-native technologies on GCP, and includes ML frameworks (scikit-learn/Tensorflow/Pytorch), Kubernetes, Kafka, Spark, and BigQuery.

What You'll Do

• Provide technical leadership to a dynamic and growing data science team
• Provide people leadership to several data scientists and machine learning engineers
• Work through hard problems with your team and deliver consistent results
• Work with the BI and Data Platform teams to plan the ingestion of data sources required for development of new models and services 
• Lead the development of ML models that assist in building and maintaining a world-class, multi-channel Ad tech platform

Does this sound like you?

• MS or PhD in math, engineering, computer science, or related technical field, or equivalent practical experience
• Extensive experience with python and scikit-learn or other ML packages
• Deep SQL chops
• Strong ability for prioritization and communication
• Prior people and/or project management experience
• Experience shipping ML models to production
• Experience with cloud platforms such as AWS/GCP/Azure
• Experience with BigData tools such as Spark, Hadoop, Kafka
• Experience with dataviz tools such as Tableau, Looker, etc a bonus

How you’ll succeed
At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!
Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.