Data Science Careers That Are Taking Off

For the past four or five years, IT industry observers have been touting data science professionals as the most sought-after talent, and there doesn’t appear to be any signs that the demand for these professionals is slowing down any time soon.

Through data collection on everything from physical exercise to purchasing patterns, our lives are being view through the prism of data, typically so businesses for learn more about us for marketing or other purposes. By the end of the decade, the average human will produce 1.7 megabytes of data every second, and more data was generated in 2017 than in the past 5,000 years combined. Despite, or perhaps due to, the sheer quantity of information out there, it has been projected that less than 1 percent of it will actually be examined.

However, businesses have recognized that their future success probably is based on the effective leveraging of data, and so they are hiring data scientists to manage the stream of information coming at them.

Being the bedrock of most technology jobs, data science is an extremely broad category, with disciplines ranging computer science to statistics. information scientists take information, organize it, and then evaluate it to uncover connections or insights that can be used to inform decisions and practices.

Education requirements

While not a necessity, advanced degrees are extremely valuable in this industry, especially if you would like progress up the industry. If not a degree in information science expressly, you ought to think about a degree in mathematics, statistics, engineering, or computer science, as they’ll provide a solid background for becoming a data scientist. Degrees in business analytics and information analytics can also help you get into the general field of data science.

Job opportunities

While data science is in-demand in practically every industry, there is a particularly strong demand in the aerospace, biotechnology, pharmaceutical, energy, software, transportation, communications, finance, media, and retail industries. Truth be told, a list of industries where data science is not useful would probably be shorter than a list where it is becoming essential.

Typical responsibilities

While responsibilities may vary based on the position and industry, most opportunities in data science will have fairly comparable job duties, obligations and processes.

Most data science professionals are responsible for gathering, organizing, analyzing and gaining insights from data. They should be able to identify trends and help develop solutions – or otherwise take advantage of insights gleaned form data. Crucially, they should also be able to communicate complex ideas and insights to a wide range of stakeholders, many of whom may not have a significant technical background.

Popular job titles that fall under the umbrella of ‘data science’ include Business Intelligence Analyst, Database Administrator, Machine Learning Engineer and Statistician.

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