Data Scientist

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.

What you’ll do

• Research innovative new machine-learning tools and techniques, and assess for suitability for adoption within the business
• Build and maintain custom predictive models, including all steps for ideation to production
• Develop benchmarks and reporting to evaluate performance of new ML models
• Participate in evaluation of new 3rd-party tools and provide guidance on adoption within Canadian Tire Bank
• Create automation processes/tools to increase efficiency within division
• Perform ad-hoc analysis as requested by business partners, manger and senior leadership and communicate results
• Perform quantitative analysis on the CTB portfolio and translate results into actionable recommendations
• Foster relationships with internal business partners to develop a thorough understanding of the business & ensure that Credit Risk interests are addressed in collaborative projects
• Prioritize & manage multiple work assignments in a changing business environment to ensure that projects are implemented on time & with quality

What you bring

• University degree in a quantitative discipline, Mathematics, Statistics, preferred
• Naturally curious, with an independent drive for self-learning and understanding
• Demonstrated superior analytical, mathematical and problem-solving skills.
• Proven ability to program in pertinent languages, including SAS, SQL, Python
• Proven ability to translate business needs into statistically sound solutions, and vice versa
• Big picture thinking: Ability to step back and understand impacts on a larger scale and explain complex analytical recommendations to both technical and non-technical stakeholders
• A high level of attention to detail and an ability to map business needs into solution requirements
• Strong written and oral communication skills when presenting results to business stakeholders
• Knowledge of the credit card lifecycle & credit risk management is preferred

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.