If you have ever been interested in statistics and in pattern recognition, this article is for you.
It's the middle man of any company that's involved in any way in research, you mainly oversee projects and see if what is done corresponds with the numbers given first.
It's a job that is all about rounding up numbers and forming visual representations of these numbers so to make an image of how an event transpired.
Statisticians spend their days either in meetings, in planning sessions, or exchanging ideas with other statisticians.
Statisticians nowadays work right about anywhere. They work in entertainment, media companies, in any field of science, in advertisement and much much more. The modern world has a lot of use for people who know how to compile numbers and give them meaning.
Becoming a statistician is no simple matter. One must have at least Bachelor’s degree in Mathematics or Statistics, to enter only entry-level positions. If you wish to rise in the profession, you would need at the very least a Master’s degree or a Ph.D. And before considering anything, one must be able to complete the various subjects needed to become one, like mathematics (calculus and linear algebra), probability, logic, psychology, and computer science. But, the advantage of these skills is that you could major in any other field and have a considerable competitive advantage when seeking employment because these skills are sought out by basically anyone nowadays,
In the United States of America hovers around the 90k usd a year, compared to Canada's 60k usd a year.
Even if you learn in Universities how to use computer models, it is heavily recommended learning at least a coding language. It will give you an edge to the competitions because you'll be seen as more reliable.
It takes a lot of mathematics which is not known to be an easy subject and is quite soul draining staying in front of a screen every day for right about the half of the day.
It'll be replaced to some extent, like every job, but only the manual and repetitive parts of it, like doing the graphs, doing the mathematics and what not, but there'll be always humans in this profession because there is a need to first interpret the data because a robot can only do what has been done, not something that need abstract thinking. And second, humans will be needed to make sure it doesn't misinterpret data, which could be deadly to the companies publishing these data.
Because it is a high end, well-payed job, the retirement age is when the person feels comfortable with it.
Anyway, this job is not for everybody, but to whom it may call, it is a job that is heavily needed and will be needed in the future because of how versatile and impactful it is.
Rationale: to sell products and services (digital marketing)
Authority: recognized author
Date: still relevant
Accuracy: probably true
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Rationale: to inform or educate
Authority: research journal
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Rationale: to inform or educate
Authority: this author’s opinion
Date: subject to change soon
Accuracy: probably true
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