Data Scientist vs. Senior Data Scientist: The Difference

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This article is for current data scientists who want to move up in their careers as well as for people switching careers to the data science landscape and want to know what separates and defines a senior role. It is important to note that not every workplace or company will offer both of these positions; however, if you satisfy the characteristics of a senior data scientist, you may be able to prove to your company why getting that title is worth it for you and them. This article is for current data scientists who want to move up in their careers as well as for people switching careers to the data science landscape and want to know what separates and defines a senior role. It is important to note that not every workplace or company will offer both of these positions; however, if you satisfy the characteristics of a senior data scientist, you may be able to prove to your company why getting that title is worth it for you and them. The senior data scientist position does not just mean that you are a data scientist with a certain amount of years of experience. It is rather, a position that entails a difference in responsibility of the impact of your data science or machine learning models on the business that you work for.

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