It is no exaggeration to state that data science is making astonishing progress in the multiple domains of technology, economy, and commerce. If this is the case it is not surprising that the employment opportunities for data scientists will be wide open. And it is so. Various projections point out with certitude that in the next five years the demand for data scientists will reach a new height. However, it is also evident that the demand is much higher than the supply. Data science requires very sophisticated and specialized skills combining passionate attachment to computers, math, and analytical ability on the part of those who are in the craft. The absence of an adequate number of people with these traits perpetuates the demand-supply gap.
The world has reached a stage when every conceivable organization is becoming data-driven. The First Five— Google, Amazon, Facebook (now Meta), Apple, Microsoft— are inevitably data-driven. But they are not the only ones. Data-driven decision-making is part and parcel of almost every organization in the competition. Data sets are customized at a rapid pace. In the sphere of shopping, from our act of searching for some specific items to the final selection of one to the act of paying for the purchase a company like Amazon meticulously keeps track of our preferences and decisions. Accordingly, it customizes the data and sends information about only those items which are related to the specific search of individual customers. The process is beneficial for both the company and the clients. It adds to the profit of the former and benefits the consumer in terms of acquiring goods at a price less than expected, as during the sale. But data sets also extend their beneficial impact far beyond. It has its positive impacts in the sphere of health by making people aware of critical health issues and health-related items. It can have a positive effect on agriculture by providing useful information to farmers about efficient food production and delivery. So it is clear that the world needs data scientists and that makes their job prospects very bright indeed. Thus let's explore some of the top data science careers awaiting aspiring data scientists to provide effective data management in organizations.
Average salary: US$100,000 per annum
Roles and Responsibilities: A data scientist is needed to identify valuable data sources for automating collection processes and build predictive models with machine learning algorithms. It is essential to know how to extract in-depth meaningful insights through multiple processes and systems to help in the decision-making process.
Average salary: US$95,000 per annum
Roles and Responsibilities: An essential work of a data architect is to build and maintain a database by identifying structural as well as installation solutions. The employee is known for formulating organizational data strategies to convert business requirements into technical requirements.
Average salary: US$110,000 per annum
Roles and Responsibilities: A data engineer is focused on developing, constructing, and testing architectures with data acquisitions. The employee lays down the foundation of a database as well as its architecture. The expertise is needed to manage large-scale processing systems to support the team of data science without causing any disturbance.
Average salary: US$70,000 per annum
Roles and Responsibilities: A data analyst should analyze real-time data with statistical techniques and tools to provide reports to the management. It is essential to develop and implement a database while analyzing and interpreting current trends and patterns in those datasets.
Average salary: US$60,000 per annum
Roles and Responsibilities: A data storyteller is needed to collect data points from multiple sources and identify the in-depth insights for an accurate conclusion. The employee should determine how to visualize real-time data while ensuring an engaging story in a creative way.
Average salary: US$80,000 per annum
Roles and Responsibilities: A database administrator needs to work with database software for effective data management as well as keep the database up-to-date for designing and developing data. The employee should manage database access and protect from loss and corruption.
The above-mentioned data science careers are just a handful of what data science offers to the world. Data science is one of the thriving fields in all kinds of industries across the world in these recent years. Data is becoming more valuable in this fast-paced life and this is creating a plethora of opportunities for data-centric roles in reputed organizations.
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