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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 behavior 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.

What You’ll Get To Do In This Role 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.

Key Responsibilities Include

• 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 Should Bring To The Team

• 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 developing and operationalizing Bayesian modelling and experimentation in retail or other B2C setting.
• 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.

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.

Who We Are 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.

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.

Our commitment to diversity, equity and inclusion (DE&I) is fuelled by our purpose and values. It shapes our culture and drives business success. As a family nurturing families, we embed DE&I into everything we do. We know that it takes open minds and respect for distinct perspectives to create engaging workplaces, inclusive customer experiences and strong community partnerships. 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.

What We Offer Our Total Rewards package is designed to help our teammates thrive—physically, financially, and emotionally. While offerings vary by role and employment type (full-time, part-time, contractual), eligible teammates may receive:

• Comprehensive Benefits Package with health and dental coverage, life insurance, and short- and long-term disability insurance.
• Access to Virtual Health Care and an Employee and Family Assistance Program for personalized support.
• Retirement and Savings Plan to help you build financial security.
• 10% In-Store Discount at participating banners, plus additional discount programs.
• Employee Share Ownership Plan (ESOP), giving you the opportunity to invest in the company’s success.
• Learning and Development Resources to support your career growth.
• Parental Leave Top-Up to assist growing families.
• Paid Vacation and Days Off to help you recharge.

Sobeys is committed to providing a compensation structure that is flexible, equitable and competitive in the market to enable performance and growth. To learn more about this opportunity—including expected range of compensation in accordance with Pay Transparency Legislation where required —please click the “I’m interested” button above. Individual Compensation is determined based on qualifications, experience, and internal equity within the range provided.

External websites may share our organization's job postings which includes compensation information based on similar roles and market benchmarks. These figures are provided for general comparison purposes only and are not issued or verified by our organization..

To drive our commitment to team collaboration and the overall success of our office culture 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.

We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on behalf of the Company, these decisions are made by our Hiring Teams.

If you feel that this describes the kind of work you want to do and you are excited about what Sobeys has to offer, then please apply by the posting end date indicated above. We encourage candidates to submit a resume and take the time to ensure that their application highlights what makes them uniquely qualified for this opportunity!

Please note: Successful candidates will be required to provide documentation to prove their legal ability to work in the position during the onboarding process. Documentation will be assessed by the employer prior to commencement of work.