Advantages of a Career in Data Science

 As the field of data science is turning out to be more popular, a lot of job vacancies are available now. If you are searching for a job in the field of data science, then you can explore new posts on job portals consistently. Regardless of whether you're thinking about a change in your profession or simply beginning your career in this field without any background in data science, it is still an extraordinary career option. If you want to know about the advantages of a career in Data Science, they must know it as we have compiled a variety of perks you’d receive by being a data scientist.

 1. The erotic job of the century

As per to an article from Harvard Business Review "Data Science" is the sexiest job of the 21st century. Numerous reasons legitimize this title. Numerous old ventures that work in the field of data have supplanted their titles of job listing with "Data Scientist." And not only the title either the companies that work in finance, statistics and operational research are interested in data science more than ever. Data Science is driving worth to numerous organizations and the trend of the job in the field of a data scientist is developing consistently. Being in the most sought after employment implies that a person's professional development will be excellent.

 2. Liberty to work

If you meet a data scientist and ask about the best part of being a data scientist, their answer would be ‘freedom and opportunity’. In data science, undoubtedly you're not bound to work for a specific industry. Perhaps the best advantage of being a data scientist is that you work with innovation and it implies that you become a part of something that has enormous potential. You are free to deal with the projects that intrigue you. Most importantly, you are changing the lives of thousands of individuals through your work in the field of data science.

 3. Get a chance to work with famed brands

As a data scientist, you are open to grab the opportunities in brands like Amazon, Apple, and Uber. A company like Amazon uses data science to sell its product by endorsing them to customers. The data getting used by Amazon comes from the huge base of its customer. Big data used by the brand like apple is for making decisions for the feature of its product. Uber’s price outpouring is the best example to show how a famed brand makes the utility of big data.

 4. The handsome package

The average salary in the field of data science is around $120,000 in the US. Since 2011, 94 percent of the graduates who are from the US have found the job of a data scientist on an average salary of $114,000. As per a report of 2016 and in the current scenario there is numerous position in the job of data scientist holds the number one position among top 25 best jobs.

 5. Training and certification course

Contrasting with many other IT jobs, Data Science jobs, do not have to create useless study material for beginners. Many courses in the study of data science are backed by experts with solid experience and knowledge. Motivating yourself to learn about data science and visualization will help you to increase more knowledge and skills in the field of data science. The data scientists who all are certified can expect pay raise of around 58%, which is comparatively higher than non-certified professionals who get 35% chances. The chance to get promoted and in resume shortlisting is very clear for professionals who are certified, but it doesn’t mean that the data scientists who are self-taught can’t grow.

 6. Data science: The most demanding job

A data scientist has plenty of options like project management, security, system architecture, consultancy, etc. There’s a huge demand for knowledgeable professionals who are experts in this field. For some of the profiles, the growth rate of this job is even more than 100%. Here, the job growth rate for information security analysts position is 279.69% and the same goes for other profiles as well. By the end of the year, 2018 more than 1.5 million data managers were in demand. According to the prediction of IBM, the demand for data scientists will continue to rise.

 7. various roles to be played in the industry

Data Science is exciting, and it requires individuals who are fit for playing different roles to solve the problems of the real-world. Globally, all types of organizations whether it is large-scaled or small-scaled organizations, all are creating data, every single day. But everyone is not taking advantage of the data they are generating. And this is why the one who is armed with the background of data science are required at different stages in the companies for their support. Data scientists are needed for analysis, translating business problems into easy-to-understand the questions related to the data, implementation of a statistical approach to data, and to bridge the gap between theories and programming. All type of job does not offer these much flexibility and endless learning opportunities.

 8. The safest career to be pursued

New technologies keep coming and going and that’s why people kept their belief in saying “everything that shines in the world of tech turns out to be a bubble”. But this is not at all ever happened with data science. But it also doesn’t mean that a data scientist should stop learning new skills by thinking that his job will remain safe forever. All of us know that the different aspects of the technology today will get automated including data science as well, which means some areas will see automated processes but the field of data science will keep growing and will be demanding as well. Those who will possess skills and will have the right mind-set will never be thrown out of their positions.

 9. Data Scientists can be found hanging out with C-level executives

Data scientists work on many technologies and programming languages. They make usage of numerous tools to solve the problems related to business. During the process, they earn the confidence of people from the top level of management. Data scientists work with people from various industries and departments, and as long as they are working on improving their skills, it’s quite obvious that they will be found hanging out with C-level executives.

 10. if you to establish your business easily

It will be easy to establish your own business if you are aware of inside and out of numerous industries and if you believe in making good contacts and have the ability to solve the problems related to real-world business. The experience, contacts, and knowledge as a data scientist can be helpful for the one who always have a fantasy for setting up their own business before retirement. 

In short, if you will search the job of Data Scientists on LinkedIn or any of the job portal, you will find end-number of job opportunities in this field. Even if you don’t have a solid background in data science, you can build it through online learning courses and study material. Data science is hot right now and it will remain the same for years. So if you are seeking that from where you can get the best online learning courses and material for being data scientist then the answer is MAGES. We are offering the best certification course for the Data Science, so get certification from the world’s best institute MAGES.