Data mining Jobs in Oakville, ON

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With world-class Owned Brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to be there for Canadians from coast-to-coast. We are relentlessly focused on innovating at every level of our business, investing in new technologies and products, and doubling down on the best talent to drive the company forward. It is an especially exciting time to join Canadian Tire and its group of companies.

We are the financial services division of one of Canada’s most trusted and recognized retailers in the country. It is our mandate to continue to create innovative financial solutions that our customers love. Our growing suite of products and services are a testament to the dynamic contributions of our employees and our continued focus on innovation. Our success is driven by a strong vision, loyal customers, and our ability to build teams that are reflective of the diverse customers and communities where we work and live.

The mandate of the Credit Management & Bank Operations department of Canadian Tire Bank (CTB) is to provide world class analytics to maximize our credit card portfolio profitability by balancing risk with reward potential. The Data Scientist position reports to the Manager, Advanced Analytics Discovery & Design. The position is responsible to investigate potential use of new machine-learning and AI technology for adoption with Canadian Tire Bank.

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

• Patricipate 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 adhoc 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 (e.g., Statistics, Economics, Mathematics)

• 5+ years of experience in data analytics and/or data science

• 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

We’re always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs

• Performance incentives, Continuing Education Programs

• Other perks to support your well-being

• Career growth opportunities and product discounts

Broadband Salary Range: $64,000 – 106,000
Our typical hiring range is between $85,000 and $95,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. 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-NZ2

This posting represents an existing vacancy within our organization.

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.