Senior Data Scientist, Customer Analytics and Predictive Modelling

Canadian Tire Corporation; Toronto; On-site; CAD 44,083 - 73,012; Full time

Benefits offered by this job

Career growth opportunities

Product discounts

Triangle Learning Academy

Retirement and savings programs

Mental health benefits of $5,000/year

Job summary

A major Canadian retailer is looking for a results-oriented Senior Data Scientist to join their Advanced Analytics team in Toronto, ON. This role involves developing data-driven insights and models to enhance customer engagement and optimize marketing performance. Candidates should hold a M.S. or PhD in a related discipline and possess over 3 years of experience in data science, with strong skills in Python and data analysis. The position offers an hourly wage ranging from $32.00 to $53.00 and includes various employee benefits.

Qualifications

• 3+ years of experience developing data science solutions for retail businesses.
• Strong background in statistics and mathematical modeling.
• Proficiency in Python and SQL.

Responsibilities

• Develop understanding of retail business and customer data.
• Support model development to enhance customer engagement.
• Collaborate with teams for analytics insights.

Skills

Data science solutions development

Customer engagement strategies

Statistical analysis

Python

SQL

Machine Learning

Data pipeline establishment

Education

M.S. or PhD in Statistics, Math, Economics, or Computer Science

Tools

Spark

R

SAS

Git

Job description

Canadian Tire Corporation is seeking a results-oriented Senior Data Scientist to join their Advanced Analytics team in Toronto, ON on a 12-month contract. There are two positions available.

What you'll do:

• Develop a deep understanding of Canadian Tire's Retail business, Loyalty and Credit Card Customers, and Marketing programs.
• Support the development of models and 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 measurable 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 used in critical business decisions.
• Support the development of a robust measurement practice using the latest machine learning technologies 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.

What you bring:

• M.S. or PhD, preferably in Statistics, Math, Economics, Computer Science, or a related quantitative discipline.
• 3+ years of experience developing and implementing data science solutions for retail businesses or loyalty programs.
• Strong background in statistics, optimization, mathematical modelling, and forecasting.
• Proficiency in Python, Spark, R, or SAS.
• 3+ years of experience querying and analyzing large datasets with SQL, Spark, etc.
• Demonstrated understanding of statistical techniques to select the right approach for specific business problems and constraints.
• Familiarity with cloud-based data structures; experience with Databricks and Azure Synapse is an asset.
• Experience with version control systems, particularly Git, preferred.
• 3+ years of experience interpreting, synthesizing, and presenting complex models and analysis to business partners.
• Excellent oral and written communication skills.

Compensation:

$32.00–$53.00/hr. Benefits include career growth opportunities, product discounts, Triangle Learning Academy, Canadian Tire Profit Sharing, retirement and savings programs, and mental health benefits of $5,000/year for eligible employees.