Canadian Tire Corporation Logo

Canadian Tire Corporation

Senior Manager, Statistical Modelling & Advanced Analytics

Reposted 9 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Lead a team of data scientists to develop machine learning models and advanced statistical solutions for merchandising and marketing. Foster talent development and establish modeling practices to support strategic business objectives.
The summary above was generated by AI

What you’ll do

You will lead high-impact statistical modelling work that helps shape decisions across retail, customer, and loyalty. This role is ideal for someone who enjoys solving complex business problems with rigorous quantitative methods and translating that work into real business action.

In this role, you will:

  • Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data

  • Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning to solve important business problems

  • Partner closely with business leaders to identify where modelling can most improve decision-making, customer outcomes, and financial performance

  • Build models and analytical frameworks that are practical, scalable, and decision-oriented

  • Establish strong standards for model design, validation, monitoring, and measurement

  • Translate complex quantitative work into clear recommendations for senior leaders

  • Help shape the future of modelling and experimentation within the broader analytics organization

  • Coach and develop a team of analysts and data scientists, while remaining close to the work and setting a high bar for technical quality

Why this role is interesting

 

This is not a generic data science role. It is an opportunity to work on meaningful modelling problems with direct impact on:

  • Customer growth and retention

  • Loyalty performance

  • Promotional effectiveness

  • Forecasting and demand signals

  • Measurement of business initiatives

  • Strategic retail decision-making

You’ll have the chance to work with large, complex datasets and influence decisions that matter across the enterprise.

Who you are

You are a strong statistical thinker who enjoys applying quantitative methods to real business problems. You are comfortable moving between technical depth and executive discussion, and you know how to build confidence in your work through rigor, clarity, and practical impact.

You likely bring:

  • Deep curiosity and strong problem-solving ability

  • A strong foundation in statistics, probability, and quantitative modelling

  • Experience working through ambiguity and turning open-ended questions into structured analytical approaches

  • The ability to balance hands-on technical work, coaching, and stakeholder influence

  • Strong judgment on when to use the right level of complexity for the problem

What you bring

  • Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, Computer Science, or another quantitative field

  • PhD is welcome, but not required

  • Significant experience in statistical modelling, advanced analytics, or quantitative decision support

  • Strong command of methods such as:

    • Regression and classification

    • Forecasting / time series

    • Experimental design and measurement

    • Causal inference

    • Statistical learning

    • Model validation and performance assessment

  • Strong coding experience in Python

  • Experience working with large datasets using SQL, Spark, or similar tools

  • Experience in modern data environments such as Databricks, cloud platforms, or distributed computing frameworks

  • Strong communication skills, with the ability to explain technical work clearly to non-technical audiences

  • Experience leading projects, influencing senior stakeholders, and helping others raise the quality of their work

Nice to have

  • Experience in retail, loyalty, consumer, pricing, marketing, or customer analytics

  • Experience with experimentation platforms, uplift modelling, optimization, or decision science

  • Experience building modelling workflows that move beyond analysis into operational use

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

Our typical hiring range is between $90,000.00 and $145,000,00 per annum. 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.

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

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.

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.

Top Skills

AWS
Azure
Databricks
Hadoop
Python
Spark
SQL
HQ

Canadian Tire Corporation Toronto, Ontario, CAN Office

2180 Yonge St, Toronto, Ontario, Canada, M4S 2B9

Similar Jobs

Mid level
Retail
Lead a data science team to develop machine learning models and advanced analytics for customer engagement, pricing, and loyalty programs, while collaborating across business units to drive insights and improvements.
Top Skills: AWSAzureDatabricksHadoopPythonSparkSQL
Junior
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The Quality Engineering Coordinator supports the Formet Team in maintaining quality management systems, ensuring customer satisfaction, and coordinating quality functions like APQP and control plan audits.
Top Skills: Control PlanGaugingGd&TIatf 16949MetrologyPpapQuality Management Systems
12 Minutes Ago
Hybrid
Guelph, ON, CAN
Mid level
Mid level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The Quality Engineer will analyze quality trends, interface with manufacturing and customers, implement quality systems, and drive continuous improvement initiatives in an automotive environment.
Top Skills: ApqpChangexDfmeaDoeGd&TExcelMicrosoft ProjectMicrosoft WordPfmeaPpapSix SigmaSpcTrax

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account