Scientist Jobs

About The Position

Requirements

• 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.
• 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.

Nice To Haves

• Experience with Databricks and Azure Synapse is an asset.

Responsibilities

• Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.
• Develop, implement and document advanced quantitative and statistical models on retail, customer and loyalty data to build solutions and generate timely insights with the purpose of executing on business strategic objectives (increase customer engagement, marketing program efficiency, and loyalty program effectiveness) and improving existing business processes.
• 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.

Benefits

• Career growth opportunities and product discounts
• 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.