Requisition ID: 186938
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.
Data Scientist Lead – Measurement and Experimentation
Location: Sobeys COLAB Office (Toronto Downtown)
Team: Advanced Analytics
The Advanced Analytics team at Sobeys is at the forefront of retail innovation. Our multi-disciplinary team of data scientists, engineers, developers, and analysts designs, develops, and deploys scalable ML/AI solutions that are fundamentally transforming how Sobeys and its family of banners interact with customers and operate their businesses.
We leverage the latest cloud technologies and advanced analytical techniques to connect the dots between customer behavior and business operations, uncovering the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts millions of Canadian consumers and is a critical component of our mission to deliver an exceptional shopping experience.
Here’s where you’ll be focusing:
What you’ll get to do in this role:
As the Data Science Lead - Measurement and Experimentation, you will oversee a talented team of data scientists and lead the development and deployment of measurement methodologies, particularly in A/B testing at customer and store level, effectiveness of promotions, effectiveness of space planning, and customer behavior analytics in marketing. You’ll be responsible for both technical leadership and people management within the team. This is a high-impact role that requires you to be hands-on coding and researching while also mentoring and guiding your team to success.
Key responsibilities include:
Lead and mentor a team of data scientists, fostering a culture of collaboration, continuous learning, and high performance. Oversee the development and application of measurement and experimentation methodologies (such as A/B testing, Bayesian modeling, and marketing mix modeling) across different levels of the business, including customer-level and store-level experiments. Research, build, train, serve, and advanced measurement models that influence business decisions across retail operations. Collaborate with Machine Learning Engineers (MLEs), Data Engineers (DEs), and other Data Scientists to create and manage end-to-end measurement pipelines in the Databricks and other cloud environments. Drive the productionization and scaling of advanced measurement solutions that operate at scale, handling billions of rows of retail data across regions, banners, and customer groups. Provide leadership in developing frameworks for experimentation, ensuring consistency and robustness in customer-level and store-level testing across multiple hierarchies. Work closely with key business stakeholders to understand business needs and design machine learning and advanced analytics solutions that directly impact sales, customer engagement, and operational efficiency. Guide your team in building, maintaining, and optimizing dashboards with help from other teams in business like the Business Intelligence (BI) team to monitor the performance of various business initiatives and experimentation systems. Maintain a focus on innovation and best practices in measurement, experimentation, and advanced analytics, staying up-to-date with industry trends.
#LI-Hybrid #LI-VJ1
What you have to offer:
What you should bring to the team:
Master's or PhD degree in Statistics, Mathematics, or a related technical field like Computer Science, Engineering, or other related science fields. 5+ years of experience in working as a data scientist or similar roles, with 2+ years of direct experience in managing or leading teams in a fast-paced, high-impact environment. 1+ years of experience in end-to-end development and productionization of measurement and experimentation methodologies specifically Frequentist and Bayesian paradigm for AB testing in retail or other similar settings using Python (being familiar with packages like StatsModel, Numpyro or PyMC is a big plus). Experience with distributed ML platforms using GPUs and how to optimize them in packages like JAX or TensorFlow or PyTorch is a significant asset. Experience manipulating large datasets using Spark in python, specifically Databricks or Snowflake, is an important asset. Experience in productionization in cloud environments, such as Azure, Databricks or Snowflake is a positive asset. Proven ability to engage with stakeholders to gather requirements and communicate updates effectively. Creative mindset, excellent communication skills, and the ability to communicate very complex topics very clearly to business stakeholders. Familiarity with Retail (personalization, promotion, forecasting, and space planning) 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.
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:
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. Learning and Development Resources to fuel your professional growth. 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.