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Wednesday, 6 June 2018

Hottest Careers In The World | 2018

 (Free Image: Pixabay)

Are you thinking about changing your career line? Or maybe wondering to opt something which is sassy nowadays? Amidst the worst recession in decades, there are a variety of hot prospects -- well paying, satisfying professional jobs -- going begging for qualified applicants. It’s smart to stay informed about what your potential and desire. As a matter of fact, we’ve compiled the hottest and high-paying jobs presently in the world. So here you go.

1)   Data Scientist: Data Scientists analyze business data for actionable intelligence.They mine and analyze data from a range of sources, including customer transactions, click streams, sensors, social media, log files and GPS plots. Since the demand is really high and supply is really low, so the salaries are still very high and people are very much willing to get into data science.So, yes, data science is on the rise, both from a company’s perspective and from an employee’s perspective. This makes data science a great field to get into at the moment. The average base salary for Data Scientists is $117K per year, ranging from $89.2K to $242K.



 2)   Commercial Project Managers: Commercial project managers coordinate the efforts of different team members involved in a project. The managers work in various industries and may be involved with engineers, technicians and designers. Although the roles and responsibilities of a commercial project manager may vary, depending on the project's scope, this position has a fairly standardized set of core duties. A Commercial Project Coordinator earns an average salary of $42,519 per year.






 3)  Machine Learning Engineers: At the center of any machine learning project lie the machine learning engineers. With backgrounds and skills in data science, applied research and heavy-duty coding, they run the operations of a machine learning project and are responsible for managing the infrastructure and data pipelines needed to bring code to production. Machine learning engineers must be able to “straddle the line between knowing the mathematics and coding the mathematics.” The average salary for "data scientist machine learning engineer" ranges from approximately $98,644 per year for Software Engineer to $130,468 per year.


 4)  Commercial Real Estate Agent: Commercial real estate can be a lucrative field for those who can survive or even thrive on the profession’s demands. Education and the ability to work quickly with numbers and analyze data are essential. Agent positions are best suited to multitaskers who enjoy working in a fast-paced environment with a variety of people. A commercial real estate agent’s job is much different from that of a residential real estate agent. Generally, selling or leasing commercial property takes a significantly longer time, and commercial real estate agents must provide substantial analytical data and financial information.  Most commercial real estate agents are paid on a commission basis. The BLS reports an average yearly income just over $44,000 for all real estate agents and $56,790 for higher-trained real estate brokers. 

 

5)  Full Stack Developer: A full stack developer is capable of performing tasks at any level of the technical stack in which they reside. It means:
·        Working with systems infrastructure (knowing what hardware to ask for , what OS to install, how to prepare the system and dependencies for all software)
·        Understanding, creating, manipulating, and querying databases
·        API / back-end code in one or more languages, e.g. Ruby, Java, Python, etc.
·        Front-end code in one or more languages, e.g. HTML, JavaScript, Java, etc.
·        Project management / client work, e.g. gathering requirements, creating technical specifications and architecture documents, creating good documentation, managing a project timeline (e.g., someone who knows Agile/SCRUM/Kanban)
The average pay for a Full Stack Developer is $76,063 per year.

 

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