Peersight
Employers
Jobs
Companies
Top Cities
Log In
Jobs
Product Tester at Home In-Home Usage Tester Product Tester at Home Architecte s Restaurant Delivery Product Tester at Home Product Tester at Home Product Tester at Home Product Tester at Home Product Tester at Home Product Tester at Home In-Home Usage Tester Product Tester at Home In-Home Usage Tester In-Home Usage Tester In-Home Usage Tester In-Home Usage Tester Customer Support Specialist Sr Full Service Shopper Sales Development Representative Shopper - Delivery Driver Full Service Shopper Shop Shop Map Quality Analyst D Map Quality Analyst Lyft Driver - Supplement Your Delivery Class 4 Driver Class 4 Driver Lyft Driver Lyft Driver Lyft Driver Lyft Driver Lyft Driver Entry-Level Jobs - Drive For Lyft Lyft Driver - Earn Extra Cash Holiday Jobs - Drive for Lyft Lyft Driver Flexible Hours - Lyft Driver Lyft Driver Lyft Driver - Earn Extra Cash Lyft Driver Lyft Driver Lyft Driver Flexible Hours - Lyft Driver Lyft Driver Lyft Driver Class 4 Driver Newest Jobs
Companies
Yelp ContactMonkey CareGuide Sterling-Turner Clearbanc Exact Media Aecom Aerotek Two Sigma AsteroidX Jane Street WeWork Insight Global Akira Doordash Shopify Borrowell Peel Regional Police AT&T First Convenience Bank Square American Income Life Amazon Flex Instacart Vector Marketing Hatchways Walgreens Microsoft Creative Circle Recovhub Clickworker Scotiabank 51talk UnitedHealth Group LowCostWebDesignFirm.com TD Bank Top Hat Paylocity Desjardins CI&T mappedin Mobeewave Checkout 51 The Youth Connection Hootsuite SnapTravel GoParkr ScribbleLive Xiaomi autoTRADER.ca All Companies
Top Cities
Chicago, Illinois Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs New York, New York Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs Toronto, Ontario Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs Vancouver, British Columbia Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs Calgary, Alberta Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs San Francisco, California Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs Montréal, Quebec Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs Los Angeles, California Sales Jobs Engineering Jobs Marketing Jobs Product Jobs Design Jobs Customer Support Jobs
Navigation
My Profile Log Out

Senior Data Scientist At Loblaw Digital

Location: Toronto, Ontario

Job Description

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


At Loblaw Digital , we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.


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.

The Data Scientist will be responsible for designing and implementing groundbreaking solutions utilizing large-scale data sets. This individual is also responsible for conducting research using the latest AI/ML techniques, coordination & collaboration with various internal teams, and working closely with engineering to integrate solutions into our production systems.


What You'll Do:

  • Research innovative data solutions and work with functional businesses (trading, marketing, operation, supply chain etc.) on solving problems such as customer segmentation, customer engagement, inventory forecasting, etc.
  • Work closely with our engineering team to integrate solutions and algorithms into our production systems
  • Gather, structure, and process raw data from multiple sources at scale
  • Work with distributed computing tools (HDFS, Map/Reduce, Hive, Hbase, Sqoop, etc.)
  • Use predictive analytics and machine learning tools
  • Support business decisions with ad hoc analysis as needed

What You'll Need:

  • Masters degree/PhD in a quantitative discipline such as Computer Engineering/Science, Statistics, Machine Learning, Applied Math, or equivalent work experience
  • Creative problem solver, resourceful in getting things done, and productive working independently or collaboratively
  • Experience in working with Hadoop, MapReduce, Hive, Hbase and related big data technologies
  • Experience working with large structured and unstructured data sets from multiple resources
  • Strong passion for empirical research and for data driven decisions
  • Deep knowledge in data mining and machine learning
  • Strong knowledge of and experience with statistics
  • Excellent programming and scripting experience in Java, python, bash.
  • Excellent written and spoken communication skills

#LI-BT1



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.