Mavericks may start with an application they want to create in mind and then come up with takes on the available data that can be woven together. They don’t look for packages to help do analysis but instead look for specific techniques or a way to play with an unusual data type (such as streaming data, social data). Mavericks are coders by nature and are experimenters at heart.Analytics are a means to an end, and there are typically multiple people working together on various analytics projects either within a department or across a given company. Traditionalists are used to and prefer packaged solutions.If we strip away everything but the analysis portion, I believe data scientists generally fall into two main camps: the traditionalists and the mavericks. Data Scientists - Traditionalists and Mavericks In this blog I look at another addition to the platform - the pairing of Watson Explorer with Watson Studio. In my previous blog I talked about the coming together of SPSS with the IBM Data Science Experience a valuable add-on to the Data Science Experience platform (since renamed Watson Studio).