The role of the data scientist is now a buzz worthy profession. It has staying power in the marketplace and gives opportunities for people who study data science to make valuable supplements to their companies and communities at large.
Here are six things that should make you realize data science is the career of tomorrow.
1. Companies Struggle to Manage Their Data
Companies have chances to collect data from consumers regarding transactions, website interactions, and more. But, according to the 2018 Data Security Confidence Index from Gemalto, 65 percent of the companies surveyed said they couldn’t explain or describe all the data they had stored. As a data scientist, you can help companies make development with the data they collect, making it pay off for them both immediately and over time.
2.New Data Privacy Regulations Raise the Demand for Data Scientists
In May 2018, the General Data Protection Regulation (GDPR) took an impact on countries in the European Union. In 2020, California will enact a similar regulation for data separation. The GDPR improved the reliance businesses have on data scientists due to the demand for real-time analytics and managing data responsibly.
One aspect of the GDPR allows customers to demand that companies delete some kinds of data, requiring that companies learn where and how they store such data. In today’s society, people are naturally warier about giving up data to businesses than people from prior generations. People know data violations happen, and that they have critical consequences. Companies can no longer afford to use their data irresponsibly. And, the GDPR and California’s data privacy laws are likely only the beginning. Data scientists can help companies use data in a useful way that aligns with those privacy stipulations.
3. Data Science Is Still Evolving
Careers outdoors growth potential stay dead, usually meaning that jobs within those particular fields must drastically change to continue relevant. Data science seems to have ample chances to grow over the following decade or so. Since it shows no signs of quieting down, that’s good news for people needing to enter the field.
One minor change likely to emerge soon is that data science job orders will get more specific. As job titles — and data science careers — get more specific, people studying for data science jobs can start to practice and do the work that’s most important to them.
A 2017 reader poll by KD nuggets found most respondents considered the demand for data science is several years away from entering a peak, and the average timeframe for that event was eight to nine years.
4. Data Scientists Have In-Demand Skills
Study shows 94 percent of data science products have taken jobs in the field since 2011. One of the signs that data science jobs are well-suited for the expectation is the exciting development in data science job posts. Statistics from Indeed.com show a steady improvement in the number of data science jobs posted over the years.
More specifically, there has been a 256 percent improvement in them since 2013, which suggests companies recognize the worth of data scientists and want to add them to their partners.
5. A Staggering Amount of Data Growth
People generate data daily, but most probably don’t even think concerning it. According to research about current and future data growth, 5 billion users interact with data every day, and that amount will develop to 6 billion by 2025, representing three-quarters of the world’s population.
Additionally, the number of data in the world in 2018 totaled 33 zettabytes, but projections give a start to 133 zetta bytes by 2025. A data product is on the rise, and data experts will be at the forefront of helping enterprises use it effectively.
6. High Probability of Career Advancement Opportunities
LinkedIn recently selected data scientist as its most promising career of 2019. One of the reasons it got the top spot was that the average salary for people in the role is $130,000. LinkedIn’s study further studied at the possibility that people could get progress as data scientists and gave a job progress score of nine out of 10.
Employees must show leadership to seize the chances to excel in data science roles, of course, but LinkedIn’s results suggest companies plan to keep data scientists on their teams for the long run. If companies didn’t view data experts as applicable to their future competitiveness and prosperity, they likely wouldn’t offer promotions.