The tech sphere has been developing recently that fast, so not all professionals can keep up with the rhythm and all the trends. However, even though it might be tricky these days to keep up with all the tech trends, it does not mean – it’s impossible or should not be done!
The development and constant innovations make tech jobs some of the most exciting and challenging at the same time. So if you really do feel eager and interested in the tech sphere and tech jobs hunting, go ahead and check out our list of top tech jobs!
AI Engineer
Artificial intelligence appears to be one of the most perspective and ‘hot’ spheres in the modern world. AI is implemented in many different spheres, i.e., machine translation, data analysis, etc. Thus, no matter the main problem of the research, AI appears to be the most useful implementation that pushes the sphere forward.
What are you required to know as an AI engineer? Below we’ve collected some of the most frequent vacancy requirements:
- Experience in developing software;
- Manage software debugging;
- Advanced coding experience;
- Proficient hard skills in coding;
- Proficient hard skills in statistics;
- Proficient skills in programming (preferably in multiple programming languages);
- Be able to work as a team member;
- Be able to work alone;
- Being a responsible employee.
Data Scientist
Data science is another most famous and quickly developing sphere for today! Whether it is an essay writing service or editing program – data science appears to be useful and implemented vastly.
Data science is mostly about data analysis and its use to extract inside information (and possible ways to retrieve it). This is done to detect and distinguish possible consistent patterns. Statistical and programming methods are also implemented vastly; thus, possible conclusions are more about statistically verified conclusions.
How to get the job as a data analyst? Below we have gathered some of the data science job application requirements:
- Experience in various programming languages (Python, R, SQL, etc.)
- Machine learning;
- Been experienced in statistics;
- Understanding of data analysis workflow;
- Algorithms;
- Data visualization;
- Predictive and statistical modeling, etc.
Moreover, many people (even at grademiners.com, the topic appeared) are usually wondering – how much experience is needed to start working as a data analyst? The answer is – not that much. It is not really about experience and the number of companies you’ve worked at. It’s more about your actual experience and understanding.
However, mind that data scientist does not really work as a developer, but still required to have advanced knowledge in programming. So it would be a plus if you’d have experience in working with various popular programming languages (Python, Java, C++, etc.).
Data Analyst
Data analysis might have something in common with data science (at least, some of the approaches and techniques applied). However, these two should not be confused! Data analyst works on developing possible ways to upgrade some of the processes in a company. However, data scientist responsibilities are more complicated and entail developing algorithms and models to predict possible issues and work on possible solutions.
Below (just as in the case of the above two specializations), find some of the most valuable hard and soft skills when willing to work as a data analyst:
- Being experienced in programming (it would be better to know multiple programming languages such as Python, Java, Oracle, SQL, etc.);
- Being proficient in math;
- Being proficient and able to analyze given data and raise possible conclusions out of it;
- Being good at time management;
- Being attentive to details and accurate with the data, etc.
Python Developer
Developers seem to be some of the most important employees in modern companies. And one of the most important vacancies for today is python developer. Due to the fact that Python appears to be easy for the newbies (while being highly operational and useful in any project), more and more people tend to start learning Python.
However, despite its usability and easiness when starting learning, coding in Python still requires hours of practice and perfect acknowledgment of the pipeline development. So, even though there are dozens of advantages of the vacancy, a person has to mind some of the core aspects and possible difficulties.
Final Ideas Even though the modern tech sphere is abundant with various interesting vacancies, it is obvious that the competitiveness will only rise in the future. Thus, any person willing to work in the sphere should prepare to develop one’s knowledge and competence.