Inactive
C

Canadian Tire

Sells automotive, home, sporting and apparel products

Senior Data Scientist - Predictive Modelling

Data SciencePosted on Oct 30
Full-timeToronto, ON, Canada$64k - $106kIn-person

About the Job

Requirements

  • At least 4 years of work experience in data science, modelling, and analytics; merchandising or supply chain experience is preferred.
  • A university degree in engineering, mathematics, computer science, statistics, business, or a related field is required; a graduate degree is preferred.
  • Proficiency in Python, PySpark, and SQL programming.
  • Experience with machine learning, data transformation and engineering, data validation, visualization, and implementing and productionizing projects.
  • Strong analytical, problem-solving, and data-mining skills, including the ability to summarize and deliver actionable insights and recommendations.
  • Experience with cloud computing environments for data science.
  • Project and time management skills, including planning, prioritizing, executing, delegating, and tracking.
  • Business mindset and understanding of the retail industry.
  • Ability to lead, influence, and motivate peers and others without direct authority.
  • Effective written and verbal communication skills, including presentation abilities.
  • Cross-functional background, organizational skills, experience working in a project environment, advanced analytical ability, and ability to work effectively independently and as part of a team.

Responsibilities

  • Use predictive and statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis, and measure 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, including long-term implementations, process improvement initiatives, urgent system or tool support, and ad-hoc analysis.
  • Proactively identify opportunities and deliver data-supported insights to improve forecast accuracy 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.
  • Develop predictive and prescriptive solutions for enterprise decisions, including product forecasting and replenishment, pricing strategy, and promotion optimization.
  • Conduct traditional and machine-learning analytics to identify and quantify cause-and-effect relationships.
  • Support the advanced analytics roadmap and development of predictive modelling and machine-learning capabilities, while supporting the business with traditional analysis and established processes.

Desired Qualifications

  • Knowledge of Azure and Databricks.

About the Company

Canadian Tire

Sells automotive, home, sporting and apparel products

Canadian Tire is a Canadian retail and services group serving households, drivers and people taking part in sport and outdoor activities. Its stores and online shops sell automotive supplies, tools, home and garden products, sporting goods and clothing, with vehicle maintenance available through its automotive service network. The wider group includes banners such as SportChek, Mark's and PartSource, alongside financial services and commercial real estate operations that support the retail network. It combines national retail brands with local dealers and franchise operators to reach customers across Canada. Founded in 1922, Canadian Tire is headquartered in Toronto, Ontario, Canada.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
1922

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