Level: Manager
Experience: 4+ years
Role Overview:
The Data Scientist - Commercial supports the Lead Data Scientist (Commercial) in delivering AI explorations identified via the AI Incubator process. This hands-on role requires expertise in different machine learning techniques and commercial data science models, to drive impactful business outcomes. Explorations will be scaled to products, which requires proficiency on programming languages as PySpark and knowledge of cloud platforms.
Key Responsibilities:
- Develop and implement commercial data science solutions.
- Collaborate with business stakeholders to align AI initiatives with commercial objectives.
- Build and optimize commercial models and similar solutions to inform decision-making.
- Provide insights and recommendations based on statistical analysis and machine learning.
- Deploy solutions accordingly to CCEP standards for automation and productionizing.
- Master’s degree in Statistics, Data Science, or a related field.
- Strong expertise in Machine Learning modelling and statistical techniques.
- Proficiency in R/Python, SQL, and cloud platforms (e.g., Databricks, Azure). PySpark will be valued.
- Experience in developing commercial data science applications.
- Strong communication skills for conveying technical insights to stakeholders.
