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Senior Data Scientist

Company:
Canadian Tire Corporation
Location:
Toronto, ON, Canada
Posted:
September 19, 2025
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Description:

The Senior Data Scientist role provides analytical and technical support in the scope of executing targeted campaigns for our customers. The Senior Data Scientist will be the subject matter expert in combining customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns. The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You’re analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. You’re ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an ‘automate first’ mindset to continuously strive towards efficiency.

What you’ll do

Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested

Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value

Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z

Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values

Write queries that efficiently and accurately integrate customer data from a variety of organizational systems

Ensure generated insights meet standards of analytical and statistical rigor, highlighting gaps where necessary

Provide mentorship to team members on data, code, and data science best practices

Lead the creation of efficient, cost-effective high-availability pipelines

Provide ad hoc analytics and recommendations for action as needed

What you bring

M.S degree in Statistics, Engineering, Computer Science or a related field

3+ years of relevant work experience

Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.

Hands-on experience with CI/CD, Devops and MLOps tools and concepts

In-depth experience with Python, SQL and R

Experience using advanced tools such as TensorFlow, PyTorch, etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages

Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, BigQuery etc.)

Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)

Project management, team mentorship and leadership qualities

We are especially interested in candidates who have experience in Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools

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. #J-18808-Ljbffr

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