Data Scientist I.
Coca-Cola CanadaToronto, ON, CAIl y a plus de 30 jours
Salaire
149 200,00 $CA – 207 300,00 $CA par an
Description de posteBachelor’s degree in a technical or quantitative field (e.g., Mathematics, Statistics, Data Science, Engineering); Master’s degree is an asset. 3+ years of experience analyzing data with proven ability to apply analytical techniques to solve real-world problems. Prior experience in the CPG or retail industry is an asset. Expertise working with large, complex datasets; proficient in SQL and Python Expertise in statistical and machine learning techniques, such as multivariate regression, random forests, and XGBoost, with a strong understanding of demand forecasting, elasticity modeling, and optimization algorithms Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau Expertise in applying scientific methods to data analysis, with strong attention to detail, critical thinking, and a focus on delivering high-quality, actionable insights Excellent communication skills and ability to explain learnings to both technical and non-technical teams Team player who works well with cross-functional teams to turn insights into actions
About This Opportunity
The Data Scientist, Advanced Analytics role within the Commercial Growth Strategy & Execution Department reports directly to the Senior Manager, Data Science. The Advanced Analytics team plays a crucial role in driving the development, leadership, and continuous improvement of commercial analytics models and outputs. The team is responsible for fostering a data-driven culture at Coke Canada, supporting analyses across categories, brands, channels, customers, and products. This spans from descriptive to predictive analytics stages.
Responsibilities
- Develop and implement best practices for building machine learning models to analyze and understand demand patterns, ensuring alignment with business objectives.
- Apply statistical and machine learning techniques to solve complex problems in demand forecasting, product optimization, and business decision-making.
- Design and develop processes / tools for trade spend effectiveness, enabling smarter allocation of resources and maximizing return on investment by using data-driven insights into promotional strategies and pricing.
- Create engaging data visualizations to communicate insights clearly to both technical and non-technical stakeholders, enhancing decision-making and strategy development.
- Collaborate across teams including product managers, engineers, and business leaders, to turn data insights into practical solutions and recommendations that drive business impact.
Qualifications