Below is a lovely infographic of what it takes to be a data scientist. I can say that I have plenty of the domain knowledge, soft skills and a good amount of communication skills, but bayesian inference – please.
I accomplished my MBA, but I will humbly state that statistics almost made me quit.
The point here is to fully understand that depth of skills and reason these people are rare and in short supply.
If you find one – hold on to them because the are like Marino Rivera in your bullpen.
The closest thing to a sure win against your competition as there could be.
So what is one to do if they cannot find this ‘perfect’ person. Well a team of 3 would work very well I say.
- with the deep business knowledge, real world experience and ability to go toe to toe with c-level executivesa number two with the deep statistical math capabilities – a phenom who looks and can talk numbers the way I can about single barrel bourbon or a ribeye
- the third is the database/developer who alone with Python and R, is a wise with Hadoop
Number 1 or number 3 could fulfill the cloud and data migration experience or that could be a fourth role.
If you are in retail, financial services or healthcare right now this is a NECESSARY role in your organization do don’t wait. Other industries for the moment might be able to wait until 2020 before needing this role on a consulting basis every quarter or so.