Senior Data Scientist, Statistics and Modeling

Posted 6 Days Ago
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Toronto, ON, CAN
In-Office
64K-106K Annually
Senior level
Consumer Web • Retail
The Role
Lead retail and loyalty analytics by designing measurement frameworks, causal inference and experimental designs, building statistical, ML, and deep learning models, developing agentic AI and LLM solutions, and orchestrating scalable end-to-end analytical pipelines to improve customer engagement and marketing performance.
Summary Generated by Built In

We are seeking a senior, results-oriented data science professional who can lead and support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical and deep learning models, build causal inference frameworks, and develop agentic AI solutions for marketing and customer analytics. The senior data scientist will lead analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency — while driving orchestration and optimization across analytical pipelines. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models, experimental design, and modern AI/ML techniques preferred.

What you'll do

  • Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.

  • Build comprehensive market, store and user-level test designs with explicit success criteria.

  • Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.

  • Collaborate in cross-functional teams to generate insights and test measurement frameworks that improve business practices and generate measurable business value.

  • Construct and improve predictive models to reduce test costs and improve result confidence.

  • Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives.

  • Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.

  • Design and deliver attribution, incrementality, and Marketing Mix Modeling frameworks to measure marketing and loyalty program impact at customer and channel level.

  • Design and implement agentic AI solutions to automate analytical workflows, insight generation, and decision support for business stakeholders.

  • Develop and deploy deep learning models for complex pattern recognition in customer behavior, product affinity, and marketing response.

  • Lead optimization and orchestration of end-to-end analytical pipelines across multiple data sources and modeling workstreams to ensure scalability and production reliability.

Key Relationships

  • Peers within the Advanced Analytics and Modelling teams.

  • Business Stakeholders throughout the retail organization.

What you bring

  • M.S or PhD, preferably in Statistics/Math/Economics/Computer Science or a related quantitative discipline.

  • 7+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.

  • Proficiency in using industry standard programming languages, including Python, R, or SAS.

  • 5+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.

  • Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.

  • Experience with deep learning frameworks (PyTorch, TensorFlow) and familiarity with agentic AI architectures and LLM-based solutions is an asset.

  • Experience designing and orchestrating multi-stage analytical pipelines with workflow optimization preferred.

  • Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.

  • 5+ years interpreting, synthesizing, and presenting complex models and analyses to business partners.

  • Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills.

  • Demonstrated ability to work independently with minimal supervision, effectively navigating and resolving ambiguous problems and situations.

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: $64,000.00 - $106,000.00

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-AG2

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 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.


Skills Required

  • M.S. or PhD in Statistics, Mathematics, Economics, Computer Science, or related quantitative discipline
  • 7+ years experience developing and implementing data science solutions
  • Experience in retail businesses or loyalty programs
  • Proficiency in Python, R, or SAS
  • 5+ years querying and analyzing large datasets using SQL, Spark, or similar tools
  • Strong understanding of statistical techniques, causal models, experimental design, and model selection
  • Experience with deep learning frameworks such as PyTorch or TensorFlow and familiarity with agentic AI and LLM-based solutions
  • Experience designing and orchestrating multi-stage analytical pipelines and workflow optimization
  • Familiarity with cloud-based data structures and tools to extract, manipulate, and transform data in the cloud
  • Experience with Databricks and Azure Synapse
  • 5+ years presenting complex models and analyses to business partners; strong oral and written communication skills
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The Company
HQ: Toronto, Ontario
27,053 Employees

What We Do

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 a group of companies that includes a retail segment, a financial services division and CT REIT. Our retail business is led by Canadian Tire, which was founded in 1922 and provides Canadians with products for life in Canada across its Living, Playing, Fixing, Automotive and Seasonal & Gardening categories. Party City, PartSource and Gas+ are key parts of the Canadian Tire network. Our retail segment also includes Mark's, a leading source for casual and industrial wear, Pro Hockey Life, a hockey speciality store catering to elite athletes, and SportChek, Hockey Experts, Sports Experts, and Atmosphere, which offer the best active wear brands. Our 1,700 retail and gasoline outlets are supported and strengthened by our Financial Services division and the tens of thousands of people employed across the country by our Company, local Dealers, franchisees and petroleum retailers. In addition, CTC owns and operates Helly Hansen, a leading technical outdoor brand based in Oslo, Norway. CTC is an integral part of the communities in which we operate and our legacy of community support, through national and local programs, is initiated and executed by our Corporation, Dealers, franchisees, store operators and employees. Since 2005, our Canadian Tire Jumpstart Charities has been helping kids overcome financial and accessibility barriers to sport and recreation in an effort to provide inclusive play for all kids of all abilities. For more information, visit corp.canadiantire.ca.

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