[Vaslo]

I’ve been doing an MS in Data Science very slowly due to work and 2 new kids. Finishing the degree this year in year 4. I was very excited about the prospect of doing something different. A few things have changed for me.

1). I am hearing about Data Science Teams being furloughed during these times. That isn’t happening in my function (Corporate Finance). I am glad to be secure even though I enjoy much of the data sci work.

2) I’m able to apply Data Science concepts in my current role, and it’s adding a lot of job security and providing me with exposure. I am much less interested now in moving to straight Data Science and instead am applying my learnings in my current role as a sort of in-house Data Science guy. But I have a lot to learn to be honest.

3). There seem to be a lot of “thought leaders” acting like they are big experts in the area and really don’t know anything many of us amateur scientists don’t know. They pull perfect clean datasets and show these magic transformations they just copy from others to get YouTube hits or Twitter followers. That just never happens in real life, and many leaders are seeing this and losing interest in this function in the returns they are getting from sole data science folks.

[RayVR]

This isn’t unique to data science. I personally know people in finance that are poor coders and even worse quants, yet they go around lecturing at universities.