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Data Scientist, Decision Support
4 months ago
What you’ll do
Seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to develop robust machine learning models, perform customer and program analytics, and develop analytical measurement frameworks. 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.
Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.
Support the development of models and other analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
Collaborate in cross-functional teams to generate models, insights, and measurement frameworks that improve business practices and generate mesurable business value.
Scope and structure data science projects while considering business needs and technical constraints.
Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations which will be used in making critical business decisions that enhance business performance.
Support the development of a robust measurement practice using the latest technologies and advancements in machine learning to provide timely insights.
Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
Establish necessary data pipelines to deploy AI/ML solutions.
Act as an active contributor to the analytics strategy within the Advanced Analytics team.
Key Relationships
Peers within the Advanced Analytics and Modelling team
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.
3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.
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. Experience with Databricks and Azure Synapse is an asset.
3+ years interpreting, synthesizing, and presenting complex models and analysis 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 confidence and clear presentation style.
Hybrid
At Canadian Tire we value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.
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