You’re a data scientist, but you didn’t end up in the data science industry.
Are you worried about not making it?
Fret not, we’ve got multiple career options molded perfectly for you.
Ever since data science and big data analytics became the buzzwords in the industry, career options in these fields never went amiss. Job roles in both the data science and the big data analytics industry continue to reign as some of the most coveted jobs a tech professional could achieve.
Without further ado, let us look for other career options other than the data science field.
Data engineers
The role of a data engineer is to build, construct, run tests, and maintain architectures such as large-scale processing systems and databases. Highly skilled professionals in this domain are responsible for dealing with raw data containing multiple errors and these data may not be validated. At times, such data can be seen unformatted that may contain certain codes which might be system-specific.
Most of the times, a data engineer is supposed to make recommendations and implement new ideas that can help improve the reliability of the data, whether its efficient enough, and even the quality of the data. Such engineers should have in-depth knowledge of multiple programming languages, tools, and technologies to get into this career.
Data analysts
You’ve probably heard the term ‘data analyst’, well, they were here even before the term data scientist existed.
A data analyst is solely responsible for collecting data, processing the data, and performing statistical analysis on larger datasets. The majority of the time that a data analyst spends is in gathering and cleaning the data that helps him uncover recent trends and positive business insights.
Their work varies based on the type of data that they work with, this may include the data procured from inventory, sales, or social media platforms. Besides this, the data could also be procured from the respective clients they’re working with.
Almost every organization has gained immense benefits because of data analysts. The insights these professionals cater to these companies have been proven valuable. Be it with the need of the customer or the user, data analysts could gather all the data (information) for you.
A data analytics career can eventually increase your chances of becoming the key decision-maker of the company you’re working for. Even better, you’re liable to earn handsome salary packages and keeps you at the edge with the competitors.
Software engineers
The demand for software engineers and software developers is expected to rise to 21 percent by 2028. This growth rate is projected to be faster than the average growth rate for other occupations.
As a software engineer, your job roles and responsibilities include designing and developing software programs. This can either be for a single application or specific functions for an entire computer system and other devices.
For the engineer to be able to design such applications, they need to deeply understand the user intent, their functionality and what are their requirements like malware and virus protection, cybersecurity defenses, and aesthetic preferences.
Data warehousing
In a data warehouse, the individual centralizes the data and makes them available for the data scientist to help execute business purposes. Besides this, they offer data analysts’ reports along with pre-calculated graphs. The experts’ sole responsibility is to offer key business functions to make strategic decisions in companies.
Data warehousing can easily be done with the help of AWS and other cloud services.
Once you acquire knowledge in these technologies, you never know this job role could be better than hitching a data science career.
Predictive analysis
Just because you couldn’t move it in the data science industry does not mean you have limited options. As an individual skilled in multiple technologies, you can always extend your limits and become a specialist in predictive analytics.
Predictive analysis uses different statistical methods, tools, and techniques that help examine large datasets. This is done to discover patterns, uncover new information to ensure no failure takes place while making those predictions.
The first and foremost task of such an expert is to be able to demonstrate business goals upon which further analysis can be made.
With the help of big data and predictive analysis, you can easily be able to relate to these business perspectives and uncover the ongoing trends.
Endnote
Technology keeps changing. Professionals who have been constantly reskilling themselves should not be worried because they couldn’t score a job in data science. The aforementioned job roles are perfect for those looking to get into the competitive jobs market.
