Will there be enough?

Data is the new oil and therefore Data Scientist is the most demanded career in the market right now. The demand for data science capabilities will increase as the industry matures with new era technologies and solutions. Businesses of all sizes are eager to use data to improve their efficiency, and therefore, they are always looking to hire someone who can collect, evaluate and analyze the data.

However, the offer does not meet the needs of the industry. The increase in demand can be attributed to the introduction of big data and the way data is generated and used by businesses today. Businesses will need data science personnel with specialized capabilities to collect and analyze this huge amount of data. At the same time, companies are constantly looking for ways to improve their customer experience through predictive analytics, and data scientists can help companies understand their data and use it to predict customer behavior.

However, there are some unique reasons why data science professionals are so rare.

Data Science – Scope:

The discipline of data science is growing at an unprecedented rate, producing a high demand for talent in a variety of fields.

Besides the rapid growth of startups, many large companies and enterprises have started to integrate data science into their legacy ecosystems in order to increase their efficiency and revenue.

There is a high demand for skilled data scientists around the world, especially in countries like India, which is growing rapidly. In India, there is a vast array of data-related businesses.

Data science, data analytics, big data engineers, big data managers, and data architects are the most common job options.

To fill these gaps, staff must be familiar with a variety of data technologies. While a one-month crash course in data science can be a great place to start, if you want to pursue a career in the field, you need to have a thorough understanding of the subject.

Lack of competence

The learning curve for data science is quite steep. You need to be proficient in the underlying math, statistics, and computer science to be a full-fledged data scientist, not just Tensorflow or Keras syntax.

Despite the fact that there is an influx of data scientists every year, there are very few people who have the necessary knowledge in the field. Most data scientists have degrees in computer science, statistics, or math, which is unusual in a world of self-taught coders.

In terms of institutions and training camps offering data science degrees, India still lags behind the United States. As a result, only a few people are knowledgeable about data science.

More and more companies are using data

Since all companies today use the value of big data to make informed business decisions, one of the main reasons for the lack of data scientists in the industry is that all companies are harnessing the value of big data. The growing demand for business analytics has resulted in a severe shortage of data scientists. Despite the fact that many people want to work in data science, there is not enough skilled workforce to fill the positions.

The number of STEM graduates each year is not keeping pace with industry demand for data scientists.

Small businesses can manage with a software engineer and analyst who can analyze data, but a large business will need a team of data professionals that includes not only programmers and engineers, but also visualization specialists. data and project coordinators. As a result, the company’s existing data scientists are under increasing pressure to complete more projects and solve more business challenges. It is therefore essential for data science enthusiasts to enroll in data science boot camps, complete projects and seek additional resources in order to obtain the essential expertise to fill the gap. skills.

The author is Tanisha Gupta.

Sean N. Ayres