IMO every Data Scientist needs to be able to quickly identify a win and deliver quick value, even in a longer term ML project. Iterate and get something out. M

IMO every Data Scientist needs to be able to quickly identify a win and deliver quick value, even in a longer term ML project. Iterate and get something out. Most people in large businesses cannot do any data ETL or build a dashboard, so if you can do that in the first few weeks of a project you've already got a deliverable/win. Having some expertise with BI applications (e.g. Tableau) has been a major strength for showing value.