Why Data Scientists Are Leaving Their Ostensibly Ideal Positions?

 I have tried to look out for some common factors in my research.

1. Low employee engagement is a leading cause of employee turnover for tech organizations. Low employee engagement means that your data scientists have low levels of enthusiasm and dedication to your company and their job. They do feel the impact of their roles or care about their performance in a job. The result of employee disengagement is low productivity and high turnover rates. 

2. The distance between what data scientists assume and what they do in the company is expanding. A range of factors play role in this, and they may differ from one data scientist to another. The gap between expectations is also determined by one's level of expertise. 

3. Stakeholders and upper management are fairly non-technical and aren't always aware of what's possible with machine learning modeling. There is so much hype around the field, that data scientists will hear some fairly ambitious requests from their managers.

4. the demand for data scientists is increasing. Also, new opportunities and challenging are rising within the data science profession to keep up. 

Agree/ Not Agree?

Please let me know in the comment section.