data scientist

Requisition ID : 192463

Career Group : Corporate Office Careers

Job Category : Data Science - Marketing

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?

Data Scientist – Measurement and Experimentation

Location

Sobeys COLAB Office (Toronto Downtown)

Team

Advanced Analytics

Overview

The Advanced Analytics team at Sobeys operates on the frontlines of retail innovation. We are a multi-disciplinary team of data scientists, engineers, software developers, architects, and analysts who design, develop, and deploy high-impact, scalable measurement for AI / ML products and services that are fundamentally transforming how Sobeys and its family of banners interact with customers and operate their businesses. We leverage the latest cloud technology 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 become the #1 retail brand in Canada.

Here’s where you’ll be focusing :

What you’ll get to do in this role :

As the Data Scientist - Measurement , you will provide technical knowledge for building and maintaining a portfolio of measurement solutions covering a broad range of marketing, space productivity, and promotion planning use cases, including but not limited to A / B testing of stores for space optimization algorithm, and Bayesian measurement for marketing personalization program. You will partner with the Data Science, Business, Enterprise Data, Technology, Cybersecurity, Business Intelligence, and Engineering teams to translate measure and provide visibility into AI / ML solutions. You will work closely with the Data Science Lead on measurement product direction and design decisions and oversee all technical aspects of the measurement solution for AI / ML applications, from design to deployment and sustainment. The successful candidate will be a self‑directed, experienced applied data scientist who enjoys building advanced measurement ETLs from the ground up.

Key Responsibilities

• Work directly with business stakeholders to translate business requirements and opportunities into statistical KPIs for measurement of AI / ML problems.
• Implement and sustain the measurement and experimentation methodologies for AI / ML products across different levels of the business, including customer-level, product-level and store-level experiments (e.g., frequentist testing for stores, Bayesian test for customers in personalization program, and Markov chain multi‑touch attribution modeling for retail media).
• Work closely with business stakeholders to translate measures of success and KPIs to statistical measures (e.g., incremental sales lift, contribution of certain media touchpoint to overall sales, and ROI) for all applications and use cases under your stewardship; partner with the Advanced Analytics Data Science teams on the development of AI / ML MLOPs pipelines and ensure measurement ETLs are developed in sync and reports to tracks various statistical metrics.
• Work closely with Business Intelligence (BI) teams in building, maintaining, and optimizing dashboards and find easy to understand messaging for advanced statistical metrics of various business stakeholders.
• Support production model governance processes and the development of robust quality controls for your algorithms.
• Work with peers across the Advanced Analytics team to drive MLOps, engineering, and coding best practices, global standards, and the build of common, reusable measurement components across the AA product portfolio.
• Stay up to date with best practices and latest advances in application of statistics, Bayesian statistics, and Markov chains in retail, and drive the adoption of the same across the team.

What you have to offer :

What you should bring to the team :

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.

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.

Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by our organization nor monitored for accuracy.

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process.

Our Total Rewards programs, for full‑time teammates, goes well beyond your paycheque :

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.

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