Data Scientist role at Coke Canada Bottling focusing on advanced analytics and data-driven initiatives. Collaborating across teams to solve complex business challenges through machine learning.
Responsibilities
Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization
Support the development and improvement of analytical models to understand demand drivers and price elasticity
Assist in building tools and analytical processes that improve trade spend effectiveness and promotional performance
Support analytics initiatives that enhance operational planning and execution
Create clear visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations
Requirements
Bachelor’s degree or a college diploma in a quantitative or technical field such as Statistics, Mathematics, Data Science, Engineering
3+ years of experience in data science, advanced analytics, or applied machine learning roles
Strong experience working with large, complex datasets and proficiency in SQL and Python
Experience applying statistical modeling and machine learning techniques, such as regression-based models, tree-based models and optimization approaches
Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling
Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset
Strong proficiency in data visualization tools such as Power BI or Tableau
Ability to communicate analytical concepts clearly to both technical and non-technical audiences
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