Career in data science
With the innumerable amounts of data generated in the age of technology, the career in data science have become an increasingly necessary vocation. The United States has just named its first head of data science and all major companies are using their own. Yet, due to the novelty of this profession, many are not fully aware of the many career opportunities that come with a data scientist. Those on the ground can look forward to a promising career and excellent compensation. To learn more about what you can do with a career in data science.
Data Scientist Career Trends
People interested in pursuing a career in data science of work must be willing to go the distance in terms of their education. Considering the current number of data specialists, we will see that almost half of them have a PhD at 48%. Another 44% obtained their master’s degree while only 8% had a bachelor’s degree. It is clear that a solid academic background will help enormously both in acquiring the knowledge needed for this career as well as in printing important gatekeepers in various companies
Getting certification is another good strategy in creating an excellent resume that will draw offers from the best names in the industry. There are four common certifications that are currently available. These include Certified Analytics Professional (CAP), Cloudera Certified Professional: Data Scientist (CCP-DS), EMC: Data Science Associate (EMCDSA) and SAS Certified Predictive Modeler. Each of them is oriented towards specific skills. Learn more about them to find the best to take for the desired career in data science.
The explosion of data is a fairly recent phenomenon aided by digital computing and the Internet. Massive amounts of information are now being collected every day and companies try to make sense of it. The pioneers have been around for a while, but the majority of scientists working with data have been on the job for only four years or less at 76%. It’s a good time to get into the field for those who want to be pioneers in a cool and exciting area of technology.
There are many questions that are yet to be clarified with data that can provide a clear answer once and for all. In this area, practitioners are often asked to conduct research on open questions from industry and the organization. They can also extract large volumes of data from various sources, which is a non-trivial task. Next, they must clean and remove irrelevant information to make their collections usable.
Once everything has been initiated, scientists then begin their analysis to check for weaknesses, trends and opportunities. The clues are all in their hands. They simply have to look for markers and make smart connections. Developers can create algorithms that will solve problems and build new automation tools. After having compiled all their results, they must then communicate the results effectively to the non-technical members of the management.
Data specialists are well paid for their technical skills. Their average earnings will depend on their years of experience in the field. Beginning workers under 5 years of age under their belts can expect to earn about $ 92,000 per year. With nearly a decade in data analysis, a person can take home $ 109,000 a year. Experienced scientists with nearly two decades career in data scientists get about $ 121,000. The most respected pioneers earn $ 145,000 a year or more. The median salary was $ 116,840 in 2016.
There are several industries with high demand for data scientists. It should not be surprising that the largest employer is the technology sector with about 41%. It is followed by 13% working in marketing, 11% in the company, 9% in consulting, 7% in healthcare and 6% in financial services. The rest is scattered across government, universities, retail and gambling.
At the chosen place of work, they often occupy more than one position. About 55.9% act as researchers for their company, extracting the data for valuable information. Another common task is business management, with 40.2% saying they work in this capacity. Many are invited by their employer to use their skills as developers and creative at 36.5% and 36.3%.
US Chief Data Scientist Career Profile
Dr. DJ Patil was an undergraduate in mathematics at the University of California at San Diego before earning his Ph.D. in Applied Mathematics at the University of Maryland. Here, he used his skills to improve numerical weather prediction by NOAA using their open data sets. He has written numerous publications that highlight the important applications of data science. In fact, he co-invented the scientific term of data. His efforts resulted in world recognition, including a prize at the World Economic Forum in 2014. In 2015, he was named Chief Data Scientist of the United States.
His work experience has enabled him to use his skills in various industries. For example, he was vice president of product at RelateIQ, data products manager and security officer at LinkedIn, researcher-in-residence at Greylock Partners, strategy director at eBay, an assistant researcher at the University of Maryland and AAAS Policy Fellow of the Ministry of Defense.
Growth and Job Demand
The screenings for career in data scientist are pink with well-known publications greeting her as the next big thing. Glassdoor named the Top Job in America for 2016. The Harvard Business Review called it the sexist Job of the 21st century. The good news for those considering starting on this path is that there is plenty of room for new people. Almost 80% of researchers report a shortage in their field. They need to be strengthened given the volume of work they have to do. In fact, projected growth over the next decade is 11%, which is higher than the estimated growth of 7% for all occupations.
According to experts, interested people must do these three things if they want to succeed in the field: spend time learning effective analytical communication, consider relocation, and interact with other scientists of the data. The first is crucial because it is a highly technical work with results that must be understood by non-technical managers. The second is a practical move with 75% of the available jobs located on the East and West coasts. The third is common advice to all areas: broaden your network, learn from your peers, and create future opportunities.
Source : rutgers