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Number of Role Openings: 2 We are seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The data scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design preferred. What you’ll do Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs. Build comprehensive market, store and user-level test designs with explicit success criteria. Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning. Collaborate in cross-functional teams to generate insights and test measurement frameworks that improve business practices and generate measurable business value. Construct and improve predictive models to reduce test costs and improve result confidence Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance. Act as an active contributor to the analytics strategy within the Advanced Analytics team. What you bring M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline. 3+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred. Proficiency in using industry standard programming languages, including Python, R, or SAS. 3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc. Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints. Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset. 3+ years interpreting, synthesizing, and presenting complex models and analyses to business partners. Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills. Demonstrated ability to work independently with minimal supervision, effectively navigating and resolving ambiguous problems and situations. We’re always looking for great talent! In addition to competitive pay, we offer: Career growth opportunities and product discounts Our typical hiring range is between $32.82 per hour and $54.34 per hour. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2 We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters. About Us Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

What you’ll do

The data scientist will design and deliver analytical measurement frameworks, perform advanced statistical modeling, and build causal inference frameworks to support retail and loyalty programs. They will collaborate with cross-functional teams to generate insights, optimize marketing program efficiency, and construct predictive models to improve business outcomes.

Requirements

Candidates must hold a Master's or PhD in a quantitative discipline such as Statistics, Math, or Economics. The role requires at least 3 years of experience in data science, proficiency in programming languages like Python or R, and strong expertise in querying large datasets.

Benefits

• Career growth opportunities • Product discounts • Store discounts • Triangle Learning Academy • Canadian Tire Profit Sharing • Retirement and savings programs • Flex benefits program • Mental health benefits

Listed skills

• SQL · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Communication Skills · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Statistics
• Causal inference
• Experimental design
• Python
• R
• SAS
• SQL
• Spark
• Machine learning
• Predictive modeling
• Data analysis
• Cloud-based data structures
• Databricks
• Azure Synapse
• Communication skills
• Presentation skills
• Retail Operations
• Talent Acquisition
• Business Problems
• Azure Synapse Analytics
• Advanced Analytics
• Planning
• Programming Languages
• Research
• Artificial Intelligence
• Analytics
• Mental Health
• Business Concepts
• Business Valuation
• Causal Inference
• Clinical Study Design
• Communication
• Customer Engagement
• Customer Analytics
• Loyalty Programs
• Data Structures
• Design of Experiments (DOE)
• Disabilities
• Economics
• Financial Services
• R (Programming Language)
• Marketing
• Python (Programming Language)
• Machine Learning
• Mathematics
• Merchandising
• Predictive Modeling
• Presentations
• SAS (Software)
• SQL (Programming Language)

Job areas

• Data & Analytics
• Retail
• Technology
• Science & Research
• Software
• Statistician/Data Scientist
• Statistician
• Mathematicians, Actuaries and Statisticians
• Statisticians