3:50 Why would an oversaturation of the job market for data science lead to data scientists being obsolete? But in any case, the entire argument hinges on the taxonomy of the job titles, I think.
I think that Data Scientist (DS) vs Machine Learning Engineer (MLE) dichotomy is what happened recently with DS vs Data Engineer (DE). At the start all companies "Man, we just need some DS to do cool stuff", then they realize they needed DE to build and maintain a data infrastructure. Now that DS do have data and time to build model and analysis companies realized that putting and monitoring models in production is important and hard and now they want MLE. When looking at job posts you see that DS requirements have bigger variations, been at more DE focused to being MLE focused (while some want a DS to be basically a DE-DS-MLE combo).
Good points Setareh Jan. I guess DS have become an umbrella term to engulf many AI/ML chores. so I guess they are becoming more and more synonymous with Machine Learning Engineers
Well, the computing jobs were not as female as you are presenting: a lot of work in computing, think Bletchley park, was simply classified. The exact staffing was also classified, so they were actually scrubbing out names of the mathematicians in the first cryptohistory books. Though there were surely females in there, like Veteran Charlotte "Betty" Webb (among others). What surprises me, remembering you from DSR, is that you end up at a VW group subsidiary (the dinosaur modernizes for once...). Interesting talk nevertheless.
3:50 Why would an oversaturation of the job market for data science lead to data scientists being obsolete? But in any case, the entire argument hinges on the taxonomy of the job titles, I think.
I think that Data Scientist (DS) vs Machine Learning Engineer (MLE) dichotomy is what happened recently with DS vs Data Engineer (DE). At the start all companies "Man, we just need some DS to do cool stuff", then they realize they needed DE to build and maintain a data infrastructure.
Now that DS do have data and time to build model and analysis companies realized that putting and monitoring models in production is important and hard and now they want MLE.
When looking at job posts you see that DS requirements have bigger variations, been at more DE focused to being MLE focused (while some want a DS to be basically a DE-DS-MLE combo).
Good points Setareh Jan.
I guess DS have become an umbrella term to engulf many AI/ML chores. so I guess they are becoming more and more synonymous with Machine Learning Engineers
Well, the computing jobs were not as female as you are presenting: a lot of work in computing, think Bletchley park, was simply classified. The exact staffing was also classified, so they were actually scrubbing out names of the mathematicians in the first cryptohistory books. Though there were surely females in there, like Veteran Charlotte "Betty" Webb (among others).
What surprises me, remembering you from DSR, is that you end up at a VW group subsidiary (the dinosaur modernizes for once...). Interesting talk nevertheless.