Senior Data Scientist, Advanced Analytics and Modelling - 2 Year Contract

External

Canadiantirecorporation · Toronto, On, Canada

Full-timeOn-site2d ago

AzureDeep LearningLinearMachine LearningPythonSpark

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About the role

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 salari

Responsibilities

Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.

Build and deploy Machine Learning/Deep Learning models which can adapt to constantly evolving data and problem sets.

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.

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 Advanced Analytics and Modelling team as well as the broader analytics community at CTC.

What You Bring

Graduate degree (PhD preferred) in Statistics/Math/Economics/Engineering/Computer Science or a related quantitative discipline.

3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.

Familiarity with optimization methods, including, Linear Programming and Mixed Integer Programming related algorithms & tools such as Simplex, Gurobi, Hexaly, etc.

Familiarity with optimization constraint setting and relaxation, including and balancing time to solution while maintaining guardrails.

Strong background in statistics, optimization, mathematical modelling and machine learning required.

Advanced proficiency with Python as an analytical tool and programming language.

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

Demonstrated understanding of statis/maths 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.

We're always looking for great talent! In addition to competitive pay, we offer:

Career growth opportunities and product discounts

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.

Senior Data Scientist, Advanced Analytics and Modelling - 2 Year Contract

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