Hybrid Senior Data Scientist Toronto

Elevate your career as a Senior Data Scientist with Coke Canada, combining advanced analytics and machine learning in a hybrid role based in Toronto. Drive impactful business solutions and lead cross-functional initiatives for optimized decision-making. In this key role within the Advanced Analytics team, you will collaborate with stakeholders to apply advanced techniques in demand forecasting and pricing analysis. Your expertise will enhance analytical models, ensuring insights not only inform but also drive action across commercial strategy, sales, and supply chain functionalities. Key Responsibilities: • Lead advanced analytics initiatives delivering actionable business insights • Enhance analytical models focused on demand drivers and price elasticity • Apply machine learning to solve complex demand forecasting issues • Design tools to improve trade spend effectiveness and ROI • Create compelling data visualizations for stakeholder communication Requirements: • Bachelor’s degree in a quantitative field; Master’s is an asset • Minimum 5 years in data science or advanced analytics roles • Proficiency in SQL and Python with large datasets • Expertise in statistical modeling and machine learning techniques • Strong skills in data visualization tools like Power BI Utilize your data science expertise at Coke Canada to drive effective business planning and execution.

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