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Machine Learning Engineer, Fulfillment / Supply Chain

Toronto, Canada

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Loblaw Digital

Trying new things, poking holes in old things and making great things even better for Loblaw Companies Ltd. From websites, apps and loyalty programs, to delivery services and everything in between. We bring digital experiences to life, solving...

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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 Machine Learning Engineer on our team, you will be a key member of a team that has the goal of developing complete machine learning solutions that helps us build a better fulfillment platform that improves our customers’ experience as well as 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 and our fulfillment capacity 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'll Do

  • 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 ML solutions based on massive structured and unstructured datasets from various sources
  • Collaborate with Engineering and Data Platform teams to build and deploy your ML 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

Does this sound like you?

  • MS or Ph.D. in a STEM field — especially computer science — or BS plus equivalent work experience in a Data Scientist or a closely related role
  • A portfolio including work in the domain of data science and ML with a focus on predictive analytics, time series forecasting, operations research & supply chain optimization
  • Creative, resourceful, and productive problem-solver
  • Passion for applying data science to 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 practices
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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Azure Computer Science E-commerce Engineering GCP Kafka Machine Learning ML models Python Research Shell scripting Spark SQL STEM

Perks/benefits: Equity

Region: North America
Country: Canada
Job stats:  23  4  0
Categories: Deep Learning Jobs Engineering Jobs Machine Learning Jobs

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