Data Scientist, Statistics and Modelling - 2 Year Contract

Canadian Tire Corporation • Toronto, ON

9d • Onsite

About The Position

We are seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The data scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design preferred.

Requirements

• M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline.
• 3+ years experience developing and implementing data science solutions.
• Proficiency in using industry standard programming languages, including Python, R, or SAS.
• 3+ 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.
• Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud.
• 3+ 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.

Nice To Haves

• Experience in retail businesses, or loyalty programs preferred.
• Experience with Databricks and Azure Synapse is an asset.

Responsibilities

• 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.
• Act as an active contributor to the analytics strategy within the Advanced Analytics team.

Benefits

• Career growth opportunities
• product discounts
• store discounts
• supported learning through our Triangle Learning Academy
• Canadian Tire Profit Sharing
• retirement and savings programs for eligible employees
• mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families
• total well-being, and mental health tools and resources for all employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees