Career

Yes, you are eligible if you have lots of programming knowledge. Data scientists are a new breed of analytical data expert who has the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. They are part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Who wouldn't want to be one? There is also a sign of the times. Data scientists weren't on many radars a decade ago, but their sudden popularity reflects how businesses now think about big data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. It's a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. It's the key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. There part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Whowouldntwant to be one? There also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Its a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. Its key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. There part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Whowouldntwant to be one? There also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Its a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. Its key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.

Yes, you may become data scientist. Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. There part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Whowouldntwant to be one? There also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Its a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. Its key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.

The opportunity to travel around the world and the lure of adventure on the high seas, besides the possibility of high remunerations attracts many youngsters to make a career in the Merchant Navy. Merchant Navy is different from the navy in the sense that it offers commercial services, as opposed to the navy, which is largely involved in the defence of a nation. Merchant Navy is the backbone of international trade, carrying cargo all over the world. The merchant ships employ a huge number of workers to carry and deliver goods from one country to another. Without the merchant navy, much of the import-export business would come to a grinding halt. A career in the merchant navy is considered a glamorous job, especially by the people who have been bitten by the travel bug. It offers an opportunity to visit new and exotic places all around the globe. Merchant Navy career is not only monetarily rewarding but also satisfying and a quite challenging. Merchant Navy - Pay Package:
In Merchant Navy, the salary can range from anywhere between Rs.12000 to Rs.8 Lacs per month though the pay structure differ from company to company, city to city, the export-import needs, seniority etc. All crew members and officers are given free meals on board and senior officers can take along their wives for the voyage. A Junior Engineer on a ship can earn around Rs. 30,000 per month with free boarding and lodging while signed on board the vessel. The next level is of Second Engineer and finally, Chief Engineer on a ship. As you keep getting promoted, your salary increases substantially. A Chief Engineer at sea earns Rs. 1.5 Lacs per month or more NET of taxes. It takes about 6-7 years for a Junior Engineer Officer to get promoted to the rank of Chief Engineer, depending on individual capabilities and job opportunities available. Regards.