Senior Machine Learning Engineer - Operations Research

Toronto, Canada
Technology – Data Science /
Full-time /
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. 

As a Senior Machine Learning Engineer on our team, you will build data science products that helps us build a better fulfillment platform that improves our customers’ experience as well as the efficiency of our colleagues working in store operations.

Leveraging the wealth of operational data available you’ll focus on delivering solutions that predict, forecast & optimize how we manage our inventory operations and our fulfillment strategy.

The team's mission is to provide a fulfillment experience that balances a complex trade-off between ensuring millions of Canadians who shop with us get their orders in a timely fashion and ensuring our operational & fulfillment costs stay low.

Your work requires communicating with an array of business stakeholders across Store Operations, Fulfillment Software Engineering Teams, Product Management, and Online Analytics to name a few primary ones. From brainstorming on numerous options to solve a problem, through deploying the completed solution in a production environment, you will partner with colleagues who offer a diverse set of ideas that are all immensely valuable to our purpose and mission.

What You Will Do

    • Drive solutions for our businesses, providing carefully designed applied machine learning/operations research approaches using your technical skills combined with an ability to inspire the more junior members of the team, with a focus on owning pieces of our solution space
    • Communicate cross-functionally with business teams — Product, Store Operations, Fulfillment Specialist, Store & Area Managers— to source data, establish requirements and define success
    • Code robust, scalable, high-performance Machine Learning/Operations Research solutions based on massive structured and unstructured datasets from various sources
    • Collaborate with Engineering and Data Platform teams to build and deploy your Machine Learning/Operations Research models into production
    • Design experiments to measure the effectiveness of your product in driving a seamless fulfillment experience through key metrics such as labour rate, pick efficiency, orders ready of time, fill rate etc.
    • Document and share, findings and results in a structured manner with stakeholders, as well as drive technical discussions with other Data Science teams

What We Need

    • MS or Ph.D. in a STEM field — or BSC plus equivalent work experience in a Data Scientist or a closely related role
    • A portfolio OR strong interest in working in the domain of applied machine learning or operations research with a focus on predictive analytics, forecasting & supply chain optimization
    • Ability to deal with some uncertainty and take the lead in designing individual components that sit together in the technical solution architecture
    • Creative, resourceful, and productive problem-solver
    • Passion for solving dynamic open-ended problems
    • Able to work independently and collaboratively
    • Comfortable with advanced SQL querying
    • Proficient in Python programming
    • Experience in shell scripting/unix 
    • Experience with big-data tools, e.g. Spark, Beam, Kafka
    • Experience with Airflow for workflow scheduling
    • Experience with or working knowledge of a public cloud AWS, GCP, Azure
    • Experience with or knowledge of software development best practice
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!

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.