Data Scientist vs ML Engineer | A Data Scientist’s Perspective
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In this video, I look at the difference between a data scientist and an ML engineer! We’re gonna look at five different things:
1) How do you define these two roles and what are they?
2) What are the educational requirements for each of them?
3) How much money do each of those roles make?
4) What does the future look like for each of these roles?
5) And then, how exactly do you decide which of these two to get into?
My business analyst vs. data scientist comparison video: https://youtu.be/ZnwkROE0byo
A good ML engineer definition (source: Tomasz Dudek @ Medium): https://medium.com/@tomaszdudek/but-what-is-this-machine-learning-engineer-actually-doing-18464d5c699
How to Become a Machine Learning Engineer (DiscoverDataScience.org): https://www.discoverdatascience.org/career-information/machine-learning-engineer/
Machine Learning Engineer vs. Data Scientist (Springboard):
Discussion on ML engineers losing their jobs (source: Chris I. @ Medium): https://towardsdatascience.com/ml-engineers-are-losing-their-jobs-learn-ml-anyway-87e19523cd9b
Discussion on ML engineers not existing (source: Luke Posey @ Medium): https://towardsdatascience.com/machine-learning-engineers-will-not-exist-in-10-years-c9cbbf4472f3
Glassdoor (data scientist): https://www.glassdoor.com/Salaries/data-scientist-salary-SRCH_KO0,14.htm
Glassdoor (ML engineer): https://www.glassdoor.com/Salaries/machine-learning-engineer-salary-SRCH_KO0,25.htm