Manager, Data Science

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians.

We are seeking an experienced Manager of Data Science & Engineering to lead our Budget Optimization, Forecasting, and Analytics initiatives in our Media & Advertising domain. There would also be an opportunity to impact our Audience strategy. This role combines technical expertise with strategic leadership to drive our advertising platform's evolution.

What You'll Be Doing?

• Lead a team of data scientists and engineers in developing and implementing sophisticated budget optimization algorithms and forecasting models
• Design and oversee the automation of audience segment creation, improving targeting efficiency and campaign performance
• Drive the development of analytical solutions that optimize advertising spend and campaign ROI
• Collaborate with cross-functional teams to integrate data science solutions into our advertising platform
• Establish best practices for data modeling, testing, and validation
• Mentor team members and foster a culture of innovation and technical excellence

Does This Sound Like You?

• Master's degree in Computer Science, Statistics, Mathematics, or related field
• 5+ years of experience in data science and analytics, with 3+ years in a leadership role
• Proven track record in building and deploying machine learning models at scale
• Strong expertise in budget optimization and forecasting methodologies
• Experience with audience segmentation and automation technologies
• Proficiency in Python, SQL, and big data technologies
• Excellence in stakeholder management and cross-functional collaboration

Technical Skills

• Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn, XGBoost) & Python programming
• Knowledge and preferably experience with Operations Research technologies like statsmodels, CPLEX, Gurobi, AMPL, PuLP, GAMS
• Knowledge of forecasting libraries like Facebook’s Prophet, ARIMA
• Experience with cloud platforms (AWS/GCP/Azure)
• Familiarity with data visualization tools (Tableau, PowerBI)
• Understanding of digital advertising technologies and platforms
• Experience with real-time bidding and programmatic advertising would be advantageous

Leadership Competencies

• Strong project management and team leadership abilities
• Excellence in communicating technical concepts to non-technical stakeholders
• Strategic thinking and problem-solving skills
• Ability to drive innovation while maintaining operational excellence

Impact You'll Make

• Shape the future of retail media through data-driven innovation
• Lead the development of next-generation audience targeting capabilities
• Drive substantial improvements in advertising efficiency and effectiveness
• Mentor and develop top-tier data science talent