Why Data Science Jobs Are in Demand?

The Top 5 Reasons Data Science Jobs Are in High Demand

Data Science, or the branch of study that deals with the exploration, analysis, modeling, and generation of meaningful information from data, is the buzzword in many industries. Organizations are increasingly realizing that they are sitting on data gold mines. The urgency to analyze this data and generate ROI is palpable. As a result, there is a growing demand for skilled professionals in this field. To stay ahead in this rapidly evolving industry, you can join a Data Science Course in Chennai, where you will gain in-depth knowledge and hands-on experience with data analytics, machine learning, and more. We look at the top reasons for the high demand for Data Science Jobs:

Companies are Confronted with Significant Challenges in Data Organization

During the late 1990s and early 2000s IT boom, the emphasis was on ‘lift and shift’ of offline business processes into automated computer systems. There has been consistent electronic content creation, transactional data generation, and data log streams over the last two decades. This means that every organization is now sitting on a mountain of data that it knows can be valuable but doesn’t know how to extract. This is reflected in Glassdoor’s recent report, which highlights the 50 best jobs in recent years. Unsurprisingly, Data Scientist Jobs has taken the top spot for the second year in a row, with a rating of 4.8 out of 5. To tap into this growing demand and start a career in data science, consider enrolling in a Data Science Online Course to build the skills necessary to analyze and extract valuable insights from data.

Skilled Resources are in Short Supply

According to a McKinsey Global Institute study, the United States will face a shortage of approximately 190,000 data scientists and 1.5 million managers and analysts capable of understanding and making decisions using Big Data by 2018. The demand is especially acute in India, where the technologies and tools are now available but the skilled users are lacking. According to Srikanth Velamakanni, co-founder and CEO of Fractal Analytics, “there are two types of talent deficits: Data Scientists who can perform analytics and Analytics Consultants who can understand and use data.” The supply of talent for these job titles, particularly Data Scientists, is extremely limited, and the demand is enormous.”

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The Pay Is Excellent

The pay for Data Science jobs is excellent and continues to rise as demand grows. In addition to a strong starting salary, experienced data scientists can see a significant salary hike with time and expertise. In the United States, the national average salary for a data scientist is over $62,000, with some experienced professionals earning even more. In India, salaries can range from 6-19 LPA, depending on the level of experience and skill set. This makes Data Science one of the most lucrative fields in the tech industry, offering both high earning potential and job stability.

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Jobs’ Pervasiveness

Because industries ranging from manufacturing to healthcare, information technology to banking are utilizing data science in some capacity, there is no shortage of Data Science Jobs for anyone who is interested and willing to work hard. This is true not only across industries, but also across geographies. So, regardless of one’s geographical location or current domain, data science and analytics are open to all. 

A Wide Range of Roles

While Data Science Jobs is a broad term, there are numerous sub-roles available within it. Data Scientists, Data Architects, BI Engineers, Business Analysts, Data Engineers, Database Administrators, and Data- and Analytics Managers are in high demand.

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