Team with diversity can work together for an enterprise to deliver Data Science workflow. 1. Person(s) with strong business acumen with Visualization skills. 2. Data Integration Engineer(s) with ETL skills on structured and unstructured data 3. Statistician with R skills 4. Smart programmer with Predictive modeling skills.
Interestingly, there is no right and specific order of delivery from these people. Having said that the person who has strong business background can work at both the ends of a shore i.e. in data discovery as well as in communicating the final result (either in terms of prediction or pattern or summarization). However, programmers can pretty much independently work in all areas of data preparation, data analysis and scripting to build datasets for modeling. In a same way, statistician can very much communicate the business result and reflection. Now after all these efforts what left is just a game of effective collaboration. Moreover, along with the right collaboration channel there should be a Data scientist(s) who can watch over and architect the whole work flow and should always be ready to design+code+test the prototype of the end product. So, this whole Operation Data Science need a collaborative team and an architect(s) with diverse skills. Read complete study on: http://datumengineering.wordpress.com/