Senior Data Scientist, Predictive Modelling

Canadian Tire; Toronto; On-site; CAD 64,000 - 105,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Performance incentives

Mental health benefits

Product discounts

Career growth opportunities

Job summary

Canadian Tire is seeking a Senior Data Scientist in Toronto to develop predictive and prescriptive solutions for key enterprise decisions. You will lead advanced analytics projects, using statistical modelling techniques to drive business insights and improve accuracy.

The ideal candidate has over 4 years of data science experience, proficiency in Python and SQL, and a strong understanding of the retail industry. The company offers a competitive salary and comprehensive benefits including performance incentives and education support.

Qualifications

• 4+ years work experience in data science, modelling, and analytics.
• Strong analytical, problem solving, and data mining skills.
• Effective written and verbal communication skills.

Responsibilities

• Use predictive/statistical modelling techniques to identify sales drivers.
• Work with cross functional teams for consistent model predictions.
• Act as a subject matter expert for established model implementations.

Skills

Python

PySpark

SQL

Machine Learning

Data Visualization

Education

University degree in engineering, math, computer science, statistics, business or related field

Tools

Azure

Databricks

Job description

The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment, pricing strategy, and promotion optimization). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities.

What you’ll do

• Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts
• Work with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processes
• Plan, track, and manage multiple projects and requests
• Proactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisions
• Provide leadership and direction to the team, including training and coaching in advanced analytics
• Act as a subject matter expert for established model implementations and methodologies

What you bring

• 4+ years work experience in data science, modelling, and analytics (merchandising or supply chain preferred)
• University degree (graduate preferred) in engineering, math, computer science, statistics, business or related field
• Proficiency with programming in Python, PySpark, SQL
• Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of projects
• Strong analytical, problem solving, and data mining skills
• Experience with Cloud computing environments for data science; knowledge of Azure and Databricks would be an asset
• Results-oriented, with proven project and time management skills
• Business mindset with an understanding of the retail industry
• Demonstrated ability to lead, influence, and motivate peers
• Effective written and verbal communication skills, including presentation abilities

Compensation

Salary range: $64,000 to $105,000 per year. Comprehensive benefits, retirement programs, performance incentives, continuing education, mental health benefits of $5,000/year, product discounts, and career growth opportunities.