Data Scientist, Marketing Technologies

Corporate Office Careers

Job Category: Data Science - Marketing

Travel Requirements: 0 - 10%

Job Type: Full-Time

Location: Sobeys Innovation Hub

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. 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.

Data Scientist – Measurement and Experimentation

Location: Sobeys COLAB Office (Toronto Downtown)

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.

As the Data Scientist - Measurement , you will provide technical knowledge for a 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.

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).

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

Master's or PhD degree in Statistics, Mathematics, Computer Science, or other related technical fields.

• 3+ years of industry experience working as a data scientist or similar related advanced statistical heavy measurement roles.
• Significant experience in end-to-end development and productionization of measurement ETLs and experimentation methodologies in retail, B2C or other similar settings using Python in a cloud environment (e.g., Databricks, Snowflake, Azure Synapse, AWS SageMaker), including model deployment, monitoring, and scalability
• High Proficiency with data manipulation using Python, PySpark and SQL.
• Experience building and deploying Markov Chain models for attribution modeling in retail or other B2C settings.
• Experience in building and/or deploying large-scale measurement algorithms in marketing, space planning, promotion planning (e.g., A/B testing or Bayesian simulation) to measure AI/ML applications is highly desirable.
• Extensive hands-on experience with statistical modeling techniques using Python – experience using packages such as StatsModel, Numpyro or PyMC is a big plus.
• Strong communication and problem-solving skills, with the ability to explain and present complex technical concepts to both technical and non-technical audiences.

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.

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

Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.

Access to Virtual Health Care Platform and Employee and Family Assistance Program.

A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.

A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.

Parental leave top-up

Paid Vacation and Days-off

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.