At the core of innovation, technological expertise is one of the key attributes that a country should possess, one that incorporates both knowledge and skill. Data science is one of the most sought-after technologies that is being used by nations to automate and simplify the lives of the citizens residing. Digital evolution and data science go hand-in-hand. This technology is impacting baking, finance, hospitality, retail, and education, only to name a few. The demand for qualified data scientists is still increasing because there is a huge gap between demand and supply chain. More businesses start using data science algorithms to boost their businesses as more jobs are created. This article lists the top reasons to become a data scientist in 2022.
Massive demand means increased wages and attractive benefits packages. As companies compete over a limited pool of talent, they continue to offer better and better salaries and work benefits to fill openings and steal talent from competitors. The need for talented data scientists also means a significantly larger pool of internships and entry-level positions, making data science a much easier job to break into after finishing your studies or online coding classes than other market verticals.
Because data scientists often work for, or in conjunction with, software companies, the flexible nature of those companies and increasing opportunities for remote work mean that you can live and work from the regions that you choose. For data scientists working for more traditional companies, the hours are often close to the usual "9-to-5" environment of many corporate environments. Massive overtime requests are not especially common, although depending on the needs of specific projects, those kinds of hours do still happen.
Building more accurate climate models and improving weather prediction technology, to help save lives and mitigate the increasing effects of climate change around the world.
Analyzing crop yields and agricultural practices, to help increase food output and save small farmers valuable money that can keep their business sustainable. Helping to optimize the hardware and software around driverless vehicles and cutting-edge public transportation projects, to save time and money for commuters and governments around the world. These are some interesting workworks you can do as a data scientist.
In most entry-level positions in a large corporation or government organization, it can take years or even decades to reach a position of influence over the macro-level decision-making and initiatives. Usually reserved for top executives, or expensive consultants from prestigious consulting firms, getting a chance to influence massive investments in resources or new campaigns is something most corporate workers only ever get to dream about. Being a data scientista data scientist, you get opportunities to reach a higher level.
Even more than experienced computer and software programmers, everyone from beginner data scientists to experienced data professionals can expect outstanding salaries and compensation given the current state of the industry. In fact, according to Glassdoor, entry-level data scientists in 2019 could expect a median salary of nearly US$109,000 a year. For managers and experienced data scientists, salaries often approach a quarter of a million dollars per year, the same rates that CEOs at hospitals or small companies command after years of a career.
As mentioned in the introduction, one of the best aspects of beginning a career in data science right now is the massive growth in learning opportunities and academic programs that can help you jumpstart your career. Dozens of universities, trade schools, and online coding academies now offer detailed data science pathways, often taught by instructors with first-hand experience in the field.
The more you gather and manipulate data, the bigger the need for more data science In some careers, if you do a really good job, you may solve a company's need for your position. In others, you may be forced to do the same thing over and over, simply becoming more efficient. Data science stands out because not only do you solve problems for companies, you may also help companies discover new problems and needs they didn't even notice before.
As companies like Uber and GrubHub and even gaming companies like Nantic (behind Pokemon Go) continue to expand the possibilities of mobile devices and the service networking industry, more and more tech companies continue to develop new needs for data scientists. If you've always desired a job at a futuristic corporate headquarters, with a chance to "change the world", data science is a great path.
