Most students are now looking at academic streams that can offer great career opportunities not just now but, in the future, as well. And getting into a career that can guarantee a stable income is now the top-priority among many students. The recent pandemic has shown everyone the importance of having a good job that can offer financial security even in the toughest of times. One career stream that has been recently growing demand among students is data science. There is not only plenty of career opportunities in data science but there is also immense career development in data science as well. The plethora of jobs in data science in the entry level as jobs in data science for freshers shows the career growth in data science. And in this article, we will take a closer look at the various lucrative career options that one can have after studying data science.
- A Data Scientist: Starting off the list is a data scientist and for those who don’t know what a data scientist do- they are people who are responsible for finding, cleaning and organizing data for companies. As a data scientist, you will be required to process large volumes of raw as well as processed information in order to find patterns and relevant data that can be useful for a business organization in their growth. Owing to the rapid movements of the industry, the ever-increasing dependency of data as well as the lack of qualified data scientists, this is a great and lucrative career option. Being a data scientist now, can also help you to get a head start from the rest of your peers as well.
- A Machine Learning Scientist: For this job, one is required to research new data approaches as well as algorithms that is to be used in adaptive systems that include supervised, unsupervised as well as deep learning techniques. This is also a lucrative career option that can help people to have built a strong financial background. Machine learning scientists are also known as research engineers or research scientists as well.
- A Machine Learning Engineer: The job requirement of a machine learning engineer includes being able to create data funnels as well as deliver software solutions. These people are also expected to have strong statistics and programming skills as well as knowledge on software engineering. Machine learning engineers should also be able to design and develop learning systems as well.
- An Applications Architect: For an applications architect, they would be required to track the behavior of the application that are used within a business and how these applications are not only interacting with each other but also how it is interacting with the user. And applications architects are responsible for designing the architecture of the application as well. This also includes building the necessary components like the user interface as well as the architecture needed for it to work.
- An Enterprise Architect: The typical job requirement for an enterprise architect is to align an organizations strategy with the needed technologies that are required to execute the business objectives. And in order to achieve this, the enterprise architects should be well versed in the business objectives of the company and the required technology that can help the organization to achieve these objectives effectively.
These are some of the many career opportunities that data science will open up for aspiring students. Apart from lucrative career options, owing to the lack of qualified data science experts, business, top-notch data science professionals are of high demand in this corporate realm. So, if you are able to make a name for yourself in the industry, then, it is safe to assume that even more lucrative options will open up for you.
