Also named as the "Sexiest Job of the 21st century," Data Scientists are in great demand these days in every sector- be it financial, medical and healthcare or automation. The scope in this computer science world is vast and data science probably the hot core in this world. As the field of data science is becoming more popular and there are many jobs available in that sector, it can be a nice and bright career option for both the professionals and newbies too. For deeper knowledge, we have listed some of the perks which can help you to become a data scientist or you can buy the books of renowned authors using Flipkart Coupon Code at affordable prices.

Sexiest Job of the century

As per the Harvard Business Review article, the data scientist is the sexiest job of the 21st century. Every brand and company has a need for a data scientist to work with sits a huge collection of data. From companies working in finance and statistics to healthcare one, every industry needs a data scientist to play and wrangle with their data and make suitable predictions which are good for the company's future. For predictions and taking the better step ahead, every company is hiring data scientists which makes this job best for career growth.

Handsome Salary

In the US, the average salary of a data scientist is near about $120,000. Also, as per a survey, it was found that since 2011, 94 percent of US graduates have turned into data scientists with an average salary of $114,000. Data Scientist job is also among the top 25 best jobs in the world. The computer science people are shifting to data science- thanks to the vast hands-on experience it provides. Unlike many other computer science jobs, it is more of a fun and statistical than coding high-end software and still, you get a nice salary in your hands.

Big names hire data scientists

Being a data scientist is surely a huge opening for someone who is looking to get into big multi-million dollar companies. From Amazon, eBay, PayPal, Facebook to Google, every big name is hiring data scientists. Having data scientists help these companies to read the users’ mind and what they want and desire from the company. It is all about predictions and analyzing- What needs to be done? What a user wants from us? So, these tech giants hire data science people and shower them with handsome salaries.

A nice roadmap of data scientist journey

Unlike many other IT career paths, Data Scientist doesn't start with trash and useless things. You can choose thousands of courses on online platforms where many experts and mentors share their knowledge in this field and also get the study material using Snapdeal Offer Code at reasonable price. A certified data scientist can expect to get 58% pay raise. Comparing it to non-certified professionals, this is quite higher i.e 23% higher chances. It is the field where you don't need more of tutor kind of service but self-learning is the best way to grow.

A bridge link between Business and IT sector

Data Scientists are not the ones who are into coding and always shooting their fingers at the keyboard keys like any other software developer. A data scientist is neither the one who handles all the business requirements of the company. But, he/she is someone who links these both sectors in a way to create a better future of the company. Using some coding techniques and skills, these people tend to give better solutions to a company’s problems and come with the best solution by playing with data. So, Data Science is a blend of both business analytics and IT schemes- this is what makes this job more beautiful.

Not bounded to a workspace

In the field of data science, a data scientist is not bounded to the workspace which means a person can hop from one company to another and work in different business oriented companies. A data scientist can very easily work in the field of his personal choc - be it healthcare industry or financial market. This freedom of work is something you don't get any many other white collar or computer science field jobs. Moreover, it gives you an intense kick from inside that you are changing the lives of millions of people out there using data science techniques and tools.

Security in career

Technologies come and go in the tech world but data science is something which will never get old. Every company will collect data, will need the details for performance, and will come out with new models for better performance- so this field will never get its hair white. Though this field will expand in its own way too, so a data scientist might not stop his/her learning but expand his knowledge with new techniques. Because, as previously said, data science will not get old but probably get young with time due to its evergreen need. A data scientist with a nice array of skill set might need to expand it with time and get along with the field's life and market.