Data science encompasses a range of fields, like data analysis, machine learning, statistics, computer science, infrastructure, and data architecture, and looking at how businesses are transforming on a day-to-day basis, we may infer that some data science jobs will be in high demand within the next ten years, there is a strong need for experts who understand the market demands, who can formulate a data-driven approach and then execute the way out.
Job change within Data Science is definitely possible
Well, it is possible to switch from one profession to another if only you can learn the fundamental and core things you must know before jumping into it. Some professionals within the sector can think of switching from one discipline to the other. Their switching might be to expand their horizon in the sector, or they notice the evolution or the high demand of a profession than the one they are into. Such conversion can be from being a data analyst to a data scientist, data engineering to a data statistician, or data engineering to a data analyst.
For instance, looking at the growing demand for data scientists every day all around the globe, and how vacancies for data scientists are becoming larger every day, most people and personnel from other disciplines within the sector are looking forward to filling up that space so as not to be left out of the wonderful expenditure of becoming a highly demanded professional in the coming years.
You must be willing to learn
Generally, what I’ve seen for data scientists is the hardcore data scientists such as research data scientists where a lot of new tools are introduced almost every time, these tools can help with a lot of works like coding, visualizing, or dragging some things in and gives you the possibility of choosing the algorithm to use and send your data through it and a lot of time is needed to know them. These tools have helped a lot of people who do not have a Ph.D. in data science in their research. Even as a data scientist you'll need to have a lot of data engineering skills and this will surely give data engineers an edge when converting their careers to data scientists because they have these skills already. One of the simple but important things about converting your careers is that you must be willing to learn.
Let me know in the comments how you think about it!
See you later.
Andreas
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