Data Scientist
Loblaw Digital
Toronto, ON
Loblaw Digital is the team responsible for building and operating e-commerce businesses for Canada’s largest and most successful retailer. So far we’ve created leading responsive e-commerce experiences for Loblaws Click & Collect (shop.loblaws.ca), Shoppers Drug Mart beautyBOUTIQUE (beautyboutique.ca), and Joe Fresh (joefresh.com), with much more to come.

We are based in downtown Toronto and operate like a start-up with extensive resources. We are an entrepreneurial, fast-paced, collaborate, and fun team working to transform the way Canadians shop.

To achieve this goal, we are looking for talented and passionate individuals who want to solve challenging problems and make a significant and lasting impact on Canadians.

A successful candidate must have hands-on experience working with Hadoop Big Data ecosystem (HDFS, Map/Reduce, Hive, Hbase, Sqoop, etc.), with a deep understanding of data mining and analytical and quantitative concepts, and machine learning techniques.

What You'll Do:
  • Research innovative data solutions and solve real market problems
  • Develop analytical approaches to meet business requirements
  • Continue to implement data pipeline to ingest, clean, aggregate, and integrate data from various data sources
  • Work with distributed computing tools (HDFS, Map/Reduce, Hive, Hbase, Sqoop, etc.)
  • Support business decisions with ad hoc analysis as needed, and communicate findings to senior management
  • Work with the Technology team in delivering Data Science projects into production
What You'll Need:
  • Degree in a quantitative discipline such as Computer Engineering/Science, Statistics, Machine Learning, Applied Math, or equivalent work experience. Masters/PhD preferred.
  • Strong understanding of big data concepts and hands-on experience in working with Hadoop, MapReduce, Hive, Hbase and related big data technologies
  • Strong knowledge/experience using machine learning tools and algorithms
  • Proficiency with Java, SQL, and python
  • Creative problem solver, resourceful in getting things done, and productive working independently or collaboratively
  • Strong passion for analytics and data mining to drive business decisions
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Here are just some of the things Loblaw colleagues enjoy:
  • 10% Colleague Discount Program on eligible products sold at Loblaw stores.
  • Ongoing career development through in-house training programs, tuition assistance and support for professional designations.
  • Sharing in the growth of Loblaw with our Employee Share Ownership Plan.
  • Corporate rate fitness club memberships for colleagues as well as eligible family members.
  • Helping you help others with our Volunteer Grant Program.
Additional Perks:
  • The chance to work in a start-up environment within Canada’s largest retailer
  • Work out of a bright and conveniently located office in downtown Toronto
  • Coffee machine, and fully stacked jars full of fresh fruit, granola bars and candy
  • Best of all: the chance to support software used by millions of Canadians daily!
#LI-LD1

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.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:
Full time

Type of Role:
Regular
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.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.