Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- 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
Benefits
- Comprehensive benefits package
- Access to retirement and saving programs
- Family and employee assistance program
- Paid vacation and floater days
- Professional development opportunities
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