actively participate in decision-making sessions.

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ofessional responsibilities
When it comes to professional responsibility, the difference between a data analyst and a data scientist lies in the purpose of their respective data analysis . Indeed, the data analyst's primary responsibility is to ensure the accuracy of the data collected. The second part of their mission is to bulgaria phone data organize all of the data in order to facilitate analysis. To do this, they use structured formats after performing statistics, trend identification explorations, and finally, explicit connections. It is then in a detailed and popularized report that the specialist highlights their conclusions as well as the most relevant key points according to the objectives of their data collection. The role of the data analyst also includes the dissemination and simple communication of the results obtained, the aim being to carry out usable predictive analyses that will

On the other hand, the data scientist designs complex algorithms in order to solve targeted problems, either through machine learning or artificial intelligence. It is therefore his expertise in the field of computer science, but also in data science, which allows him to create relevant prediction models, or even intuitive recommendation solutions. In his daily life, the data scientist experiments with all the new technologies such as data processing software or automatic extraction tools, evaluates cutting-edge approaches, and deploys models in order to integrate them into existing systems. His main collaborators are essentially the engineering teams and product managers.