Data Science Journey, Entry #2

The nature of these Journeys entries are naturally chaotic, insofar as the type of content that I absorb, the content that I cover and learn, as well as what interests me within a particular week, will naturally vary. Wildly no doubt. However the purpose of these is to illustrate the world of Data Science, week by week, as I interact with it. Hence, I hope for it to be a truly faithful representation of someone jumping into that world, navigating it, and providing some relatively Live Feedback as I delve into this world.

All of which is a preamble to the two main concepts I encountered, both on LinkedIn this week which pertain to Data Science.

First, a lot of people who have successfully landed jobs in Data Science have very quickly realised that their actual job is that of a Data Engineer. There are a couple of potential reasons for this. Sometimes from the broadness of Data Science meaning that the skills that employers are actually wanting is often that of a Data Engineer, as they already have plenty of the more traditional Data Scientists, as these are, generally, the more desirable positions. Another reason is that the employer themselves isn’t aware what precisely they are hiring for and the candidate only finds out when they are a couple of interviews in, by which point the implications of sunk-costs encourages them to stick it out. A final reason, is that they are hired for one job. But after a couple of weeks of introduction within the business they begin to realise that they do not need a Data Scientist, and the already existing team cannot do their job due to the lack of a Data Engineer and proper support teams.

Second, there is a lot of conversation regarding an already saturated field that is Data Science. Given the predicted future of ruled by Data, and the broadness of the field. This seems a strange argument to me. There can surely be nothing less than growth in this area and perhaps the only argument to be made is that there will be close to an excess of this type of worker in 10 – 15 years. However, that gives me plenty of time, and this time frame is probably as arbitrary and inaccurate as any other that has been put forward. This reaction of saturation to me seems more like a classic Human response to why some people are struggling to get a job, and so it is rationalised to not be within their own control. And sure, it might be true, that the field is very competitive, but there will likely be plenty of opportunities to have a similar job in the future.

All of which is to say, I am not too worried about my employability in the future.

Keep an eye out for my first Analytical Piece on Thursday!

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