Senior Data Scientist, Predictive Modelling

FGL Sports; Toronto; On-site; CAD 64,000 - 106,000; Full time

Benefits offered by this job

Store discounts

Job summary

Canadian Tire Corporation, Limited is seeking a Senior Data Scientist to develop predictive and prescriptive solutions that inform product forecasting, replenishment, pricing, and promotions. You will apply ML techniques and traditional analytics to quantify causal impacts and support strategic decisions.

The role emphasizes leadership, collaboration, and delivering scalable analytics within a fast-paced retail environment.

Qualifications

• 4+ years work experience in data science, modelling, and analytics.
• Advanced analytical ability and strong communication skills.
• Experience with cloud data science environments (Azure, Databricks).

Responsibilities

• Use predictive modelling and traditional analytics to identify sales drivers and perform what-if analyses.
• Lead cross functional teams and ensure model outputs are explainable and actionable.
• Plan, track, and manage multiple data science projects from conception to production.

Skills

Analytical thinking

Collaboration

Communication

Leadership potential

Education

University degree in engineering, math, computer science, statistics, business or related field

Tools

Python

PySpark

SQL

Azure

Databricks

Job description

What you’ll do

The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment, pricing strategy, and promotion optimization). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

Responsibilities

• Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts.
• Work with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processes.
• Plan, track, and manage multiple projects and requests - these initiatives can range from formal long-term project implementations, medium-scale process improvement initiatives, urgent system/tool support issues, or quick ad-hoc analysis requests.
• Proactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisions.
• Provide leadership and direction to the team, including training and coaching in advanced analytics.
• Act as a subject matter expert for established model implementations and methodologies.

Who you are

• Action oriented, and comfortable taking calculated risks to better serve our customers and business.
• Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business.
• Collaborative team players with superior influencing skills, who build relationships easily across various stakeholder groups to move initiatives forward.

If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly, then this is definitely the place to be.

What you bring

The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

• 4+ years work experience in data science, modelling, and analytics (merchandising or supply chain preferred).
• University degree (graduate preferred) in engineering, math, computer science, statistics, business or related field
• Proficiency with programming in Python, PySpark, SQL.
• Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of projects.
• Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights and recommendations.
• Experience with Cloud computing environments for data science. Knowledge of Azure and Databricks would be an asset.
• Results-oriented, with proven project and time management skills (planning, prioritizing, executing, delegating, and tracking).
• Business mindset with an understanding of the retail industry.
• Demonstrated ability to lead, influence, and motivate peers as well as others without direct authority.
• Effective written and verbal communication skills, including presentation abilities.

Broadband Salary Range: $64,000 - 106,000 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.

About Us

Canadian Tire Corporation, Limited ("CTC") is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 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