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In a scenario where a retail company aims to reduce customer churn by leveraging machine learning, which role is primarily responsible for defining how the model's output should be utilized to address this specific business challenge? Consider the following constraints: the solution must be scalable, cost-effective, and comply with data privacy regulations. Choose the best option.
A
Data Engineer - Focuses on building and optimizing the data pipeline to ensure efficient data flow for the model.
B
Data Scientist - Concentrates on developing and fine-tuning the machine learning model to predict customer churn.
C
Machine Learning Engineer - Implements the model into production, ensuring it runs efficiently and scales with the company's growth.
D
Professional Machine Learning Engineer - Defines how the model's predictions should be interpreted and applied to formulate strategies to reduce customer churn, ensuring the solution is scalable, cost-effective, and compliant with data privacy regulations.