Job Title: Senior Data Scientist, Advanced Analytics and Modelling
Location: Toronto, ON (Onsite)
Estimated Duration: Fulltime
About Us
Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 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.
Senior Data Scientist, Advanced Analytics and Modelling
We are seeking an experienced data science professional to support the development of machine learning and other mathematical models and solutions in the areas of pricing and promotional optimization, loyalty incentive curation and optimization as well as enterprise price-value scenario orchestration engines to power the next phase of our growth across all of CTC's businesses. This role is critical to the execution of our bold true North strategy. 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. This role requires a strong background in statistics, optimization, mathematical modelling and machine learning.
What You’ll Do
- Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.
- Develop, implement and document advanced quantitative and statistical models on retail, customer and loyalty data to build solutions and generate timely insights with the purpose of executing on business strategic objectives (increase customer engagement, marketing program efficiency, and loyalty program effectiveness) and improving existing business processes.
- Build and deploy Machine Learning/Deep Learning models which can adapt to constantly evolving data and problem sets.
- Scope and structure data science projects while considering business needs and technical constraints.
- Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations which will be used in making critical business decisions that enhance business performance.
- Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
- Establish necessary data pipelines to deploy AI/ML solutions.
- Act as an active contributor to the Advanced Analytics and Modelling team as well as the broader analytics community at CTC.
What You Bring
- Graduate degree (PhD preferred) in Statistics/Math/Economics/Engineering/Computer Science or a related quantitative discipline.
- 3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.
- Familiarity with optimization methods, including, Linear Programming and Mixed Integer Programming related algorithms & tools such as Simplex, Gurobi, Hexaly, etc.
- Familiarity with optimization constraint setting and relaxation, including and balancing time to solution while maintaining guardrails.
- Strong background in statistics, optimization, mathematical modelling and machine learning required.
- Advanced proficiency with Python as an analytical tool and programming language.
- 3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
- Demonstrated understanding of statis/maths 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 analysis 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 confidence and clear presentation style.
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.