Unlock the profound value hidden within the telemetry data of The Coca-Cola Company's global fleet of 17MM+ connected equipment to drive revenue growth, reduce operating expenses, and provide unprecedented real-time market understanding.
Requirements
- Expertise in statistical modeling, machine learning algorithms, and deep learning
- Highly proficient in programming languages commonly used for data science (Python required, R a plus) and relevant libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy)
- Strong experience with cloud-based ML platforms and services, particularly Microsoft Azure Machine Learning, Azure Databricks, and related data services
- Proficiency in SQL for data extraction and manipulation
- Experience in data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn)
- Strong understanding of MLOps principles and practices for model deployment and lifecycle management
Responsibilities
- Lead the end-to-end development of advanced analytical models and machine learning algorithms
- Design and implement statistically sound experiments to test hypotheses and evaluate the impact of digital initiatives on business outcomes
- Explore and apply cutting-edge AI capabilities, including the potential for AI Agents for autonomous decision-making and computer vision solutions for equipment-level insights
- Develop and evaluate advanced machine learning models with a clear pathway for product ionization
- Translate complex analytical findings and model results into clear, concise, and actionable business insights for a diverse audience
- Collaborate closely with Lead Data Engineers to identify, acquire, and prepare high-quality, relevant data from disparate sources
Other
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related discipline. Master's or Ph.D. preferred
- 7+ years of hands-on experience as a Data Scientist, with a strong portfolio of successfully deployed machine learning models in production
- Estimated Travel: 0-20%
- Annual Incentive Reference Value Percentage: 15