Share this Job

Machine Learning Engineer

Requisition ID:  166625 

Career Group:  Corporate Office Careers 

Job Category:  Advanced Analytics 

Travel Requirements:  0 - 10%

Job Type:  Full-Time

 

Country: Canada (CA) 

Province: Ontario; British Columbia; Nova Scotia  

City: Toronto

Location: Sobeys Innovation Hub 

Postal Code: M5V 1X6 

 

Our family of 134,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.  

 

A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1500 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawton’s Drug Stores or another of our great banners but we are all one extended family. 

 

All career opportunities will be open a minimum of 5 business days from the date of posting.

Overview

The Advanced Analytics team at Sobeys operates on the frontlines of retail innovation. We are a multi-disciplinary team of data scientists, engineers, developers, and analysts who design, develop, and deploy high-impact, scalable ML/AI solutions that are fundamentally transforming how Sobeys and its family of banners interact with customers and plan and operate their businesses. We leverage the latest cloud tech and advanced analytical techniques to connect the dots between customer behaviour and business operations and unearth the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts the daily lives of millions of Canadian consumers and is a key pillar in our mission to deliver a best-in-class shopping experience for our customers.

Job Description

In this role, you’ll have the chance to roll up your sleeves and apply machine learning and analytics to real-world business situations in one of the biggest retailers in Canada. The Machine Learning Engineer will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization.

Responsibilities:

· Maintaining, streamlining and automating existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.

· Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.

· Working with Analytics and Product Management to ensure optimal data design and efficiency.

· Assisting Data Analysts and Data Scientists with pipeline and model deployment

· Use an analytical, data-driven approach to drive a deep understanding of our fast-changing business.

· Building data models to deliver insightful analytics while ensuring the highest standard in data integrity.

Job Requirements

Bachelor’s or higher degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance or related quantitative field, or equivalent practical experience.

· Experience and proficiency with SQL and SQL-like languages (3+ years)

· Experience in working on back-end data infrastructure, including CI/CD (i.e. Azure DevOps, Jenkins, Bitbucket pipelines) and infrastructure-as-code (i.e. Ansible, Terraform) (3+ years)

· Proficiency with at least one of the following languages: Java, Python, Scala. (Python is preferred) (3+ years)

· Proficiency in cloud infrastructure and networking specially in Microsoft Azure (Other cloud platform is accepted as well) (3+ years)

· Proficiency working with Apache Airflow or other scheduling platforms like Azkaban (1+ year)

· Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system. (3+ years)

· Strong understanding of various ML concepts, e.g., general linear models, time series analysis, cluster analysis, random forest, neural nets, etc.

· Working with distributed ML platforms like Spark ML, ML Flow, TensorFlow, … (3+ years)

· Ability to creatively solve problems in a fast paced, rapidly changing environment

· Ability to navigate ambiguity, drive solutions forward and bring stakeholders along.

· Strong problem solving, analytical skills and capability of managing multiple projects and reporting simultaneously across different stakeholders.

· Strong structured thinking and the ability to easily break down complex ambiguous problems and propose impactful data modeling designs.

Sobeys is committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.

 

 

While all responses are appreciated only those being considered for interviews will be acknowledged.

 

We appreciate the interest from the Staffing industry however respectfully request no calls or unsolicited resumes from Agencies.