What is the most effective way to structure a data science team?

This blog post discusses the ideal structure for a data science team within an organization. It explores the different roles and positions that should be included in a data science team, such as data engineers, data analysts, and machine learning engineers. The article also highlights the importance of having clear goals and objectives for the team, as well as establishing effective communication and collaboration channels. It provides insights into the different team structures commonly used in the industry, such as centralized, decentralized, and hybrid models, and discusses the pros and cons of each. The author emphasizes the need for cross-functional collaboration and suggests that the most effective data science teams are those that have a balance of technical expertise, domain knowledge, and business acumen.