The fact that you are using the same reply twice means that you copied this reply from some other place and know nothing.
If let's say KCB bank wants to create a new mobile app with a loan lending feature that determines who to give and who to deny loans and what amount to give. You think any Kamau, Otieno and Wanjala who know python data science libraries or R can create such a model without a solid Mathematics and stats background?
The Data Scientist will come up with the model and what variables it will be based on
The Data Engineer will help with the cleaning of this data, create a pipeline for the data scientist to work with. for its storage
The data scientist will then analyze the data, create insights then finally come up with a model
The mAchine learning Engineer will translate this model created by the data scientist into production code for the app together with the dev team
After deploying the model to production the data scientist will continue refining it, the ML engineer keeps updating it on production and the data engineer ensures there is a smooth pipeline for the data scientist.
And this is why I still insist that Just because you know Pandas, TensorFlow, Sci-kit learn and other libraries will not make you a Data scientist if you don't have the math background
This article explains it in depth
https://www.datacamp.com/community/blog/data-scientist-vs-data-engineer
, lets just agree I know nothing, you are right, we go back tupatie the poster advice.