Disadvantages :-

1. Mastering Data Science is near to impossible

Being a mixture of many fields, Data Science stems from Statistics, Computer Science and Mathematics. 

2. Large Amount of Domain Knowledge Required

Data Science is its dependency on Domain Knowledge. A person with a  considerable background in Statistics and Computer Science will find it difficult to solve Data Science problem without its background knowledge. 

3.challenging problems

Always,needs to face difreent problems related to mathematics,code implementation,managment or analysis.

4.Upfront time & cost

   Required more effort time as well as cost to become experienced  Data scientist.