Data Scientist

Canadian Tire Corporation; Oakville; On-site; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement

Performance incentives

Career growth opportunities

Product discounts

Job summary

Canadian Tire Corporation is seeking a seasoned ML lead to drive origination, credit limit and collection strategies. You will own end-to-end scorecard design from data sourcing to modeling and validation, deploy models, monitor transfers and oversee reporting.

You will regularly review model performance, create customer segmentation insights, and present findings to senior management while coordinating with internal customers and subject matter experts to translate business needs into solutions.

Qualifications

• University degree in STEM or data science; postgraduate preferred.
• 3+ years building predictive scorecards and ML models from real-world data; credit risk/credit card sector asset.
• Strong understanding of ML steps and modeling metrics.
• Proficient in SQL, Python and SAS.
• Experience with Pandas, XGBoost, scikit-learn, LightGBM.
• Hands-on with Enterprise Miner, Analytics Workbench or SPSS Modeler.
• Familiar with cloud data tools (Azure, AWS, Databricks).
• Experience manipulating large relational databases.

Responsibilities

• Lead ML projects for origination, credit limit and collection strategies.
• Own full cycle scorecard design from planning to modeling and validation.
• Deploy models, track data transfers, oversee scoring and reports.
• Review predictive effectiveness of models and recommend actions.
• Create customer segmentation schemes for insights.
• Collaborate with internal customers and SMEs to translate business needs.
• Present design elements and model results to senior management.
• Handle ad-hoc tasks to support business objectives.

Skills

SQL

Python

SAS programming

Pandas

XGBoost

scikit-learn

LightGBM

Azure

AWS

Databricks

Enterprise Miner

Analytics Workbench

SPSS Modeler

Education

University degree in STEM or data science

Postgraduate degree in mathematics / statistics / data science

Tools

SQL Studio / IDE

SAS

Job description

Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources

Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation

Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise

Regularly review and document the predictive effectiveness of various statistical models and recommend the appropriate course of action

Create customer segmentation schemes that provide strategy teams with key customer insights

Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions

Deliver effective presentations of key design elements and model build results to senior management

Work on related tasks and ad-hoc activities to support business objectives

What You’ll Do

• Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
• Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
• Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise
• Regularly review and document the predictive effectiveness of various statistical models and recommend the appropriate course of action
• Create customer segmentation schemes that provide strategy teams with key customer insights
• Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions
• Deliver effective presentations of key design elements and model build results to senior management
• Work on related tasks and ad-hoc activities to support business objectives

What You Bring

• University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data science or similar disciplines is preferred
• Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data. Work in credit risk management or the credit card industry is an asset
• Solid understanding of machine learning steps and modeling metrics is a must
• Proficient in SQL, Python and, ideally, SAS programming language
• Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystems
• Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
• Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus
• Background in manipulating large relational databases with detailed and granular information

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: $53,000 - $88,000.

Our typical hiring range is between $53,000 and $70,000. 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.

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.

About Us

At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. 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.