Data Science Lead - Optimization

Sobeys; Toronto; Hybrid; CAD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking company as a Data Science Lead, where you'll apply your expertise in machine learning to optimize business operations in one of Canada's largest retail chains. This role offers the opportunity to lead a team of talented data scientists, develop scalable ML solutions, and engage with various stakeholders to drive impactful results. You'll work in a dynamic environment that values innovation and collaboration, contributing to the enhancement of customer experiences across the nation. If you're passionate about data science and ready to make a difference, this is the perfect opportunity for you!

Benefits

Comprehensive Total Rewards package

Flexible work model

Support for applicants with disabilities

Qualifications

• Master's degree or higher in a technical field is required.
• 3+ years experience in machine learning and optimization solutions.

Responsibilities

• Research and build machine learning models for optimization.
• Lead a team of Data Scientists and collaborate with Engineers.

Skills

Machine Learning

Data Science

Python

Java

Scala

Data Analysis

Stakeholder Engagement

Communication Skills

Education

Master's degree in Computer Science

Master's degree in Engineering

Master's degree in Statistics

Master's degree in Mathematics

Tools

Azure

Spark

SQL

Tableau

Google Data Studio

ML Flow

TensorFlow

Databricks

Job description

Requisition ID: 187893
Career Group: Corporate Office Careers
Job Category: Data Science - Merchandising
Travel Requirements: 0 - 10%
Job Type: Full-Time

Country: Canada (CA)
Province: Ontario
City: Toronto
Location: Sobeys Innovation Hub

Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.

Our family of 128,000 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 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family.

Ready to Make an impact?

Job Title: Data Science Lead - Optimization

Location: Sobeys COLAB Office (Toronto Downtown)

Team: Advanced Analytics

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.

Here’s where you’ll be focusing:

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

Responsibilities:

• Research, build, train, serve, and monitor machine learning (ML) models.
• Lead a small team of Data Scientists.
• Work closely with Machine Learning Engineers (MLE) and Data Engineers (DE) to create and manage end-to-end ML pipeline in Azure cloud development environment.
• Write production ready code that will be reviewed by other team members and review their code.
• Work with MLEs to scale, automate and optimize ML pipelines.
• Work with DEs to ETL in a big data environment consistent of billions of rows of retail data covering many banners, regions, and millions of customers.
• Work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques.
• Work with BI team to create dashboards that monitor performance of your ML systems.

What you have to offer:

Qualifications:

• Master's degree or higher in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
• 3+ years of experience with pricing optimization and the productionization of optimization solutions.
• 3+ years of hands-on experience in developing end-to-end machine-learning algorithms in cloud or distributed environments using Python, Java, or Scala.
• 3+ years of experience with distributed ML platforms, such as Spark ML, ML Flow, and TensorFlow.
• 3+ years of experience manipulating large datasets using Spark or SQL.
• 3+ years of experience in cloud CI/CD environments, such as Azure DevOps or Bitbucket Pipelines.
• Proven ability to engage with stakeholders to gather requirements and communicate updates effectively.
• Creative mindset, excellent communication skills, and the ability to create and manage ML pipelines with minimal guidance.
• 2+ years of experience building executive-level dashboards in Tableau or similar tools like Google Data Studio.
• Familiarity with Cloud Environments, specifically Databricks and Azure, is a significant asset.
• Experience in Retail or similar settings is an additional asset.

At Sobeys we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally.

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