Is Data Science the Most-sought After Career in 2022?

As we dive deep into the year and can still see the role of Data Scientists booming, it's no doubt that data science is the most significant trend worldwide, with data-driven decision-making gaining massive popularity. Irrespective of how large or small the business is, every organization looks for master workforces who can understand and analyze the data precisely, making it the sexiest job and desirable career in any domain.

Data Science includes advanced analytics practices and scientific principles to extract valuable information from decision-making data. The technology leverages complex machine-learning algorithms to create predictive models. In addition, it leverages several statistical techniques ranging from data transformation to machine learning modeling.

The Data Science market is expected to expand from over $95Bn in 2021 to $322Bn by 2026. The role of data scientists combines mathematics, computer science, and statistics. They analyze, process, and model data and then interpret the outcomes to develop actionable insights for organizations.

The role was relatively less at the time; however, as more firms accepted big data, they realized they required an individual who could merge analytics, programming, and experimentation skills. Thus, Data Science will become the most sought-after career in the job market in 2022.

Data Science, the Hottest Buzzword in the Job Market

Data Science has drastically become a subject matter across various industry verticals. As a result, the data science job is more in demand than ever with recruiters. In addition, artificial Intelligence (AI) is significantly rising in ventures, and organizations globally feel the need for data scientists to create AI models.

According to the US BLS, the number of job opportunities needing data science skills is expected to rise by 27.9% by 2026. There are no automated techniques that can replace the skills of data scientists as long as we continuously learn and develop data-driven solutions. In the data science world, it's a top-notch professional ranking with the training to discover the world of big data. Many data professionals highlighted that they spend much of their time wrangling data, which is still the scenario despite a few developments in leveraging AI for data management.

Data experts understand that they face technical issues; however, they don't permit that to bog down their research for new solutions. Several other data scientists, especially from companies such as LinkedIn, Google, Walmart, and more, have added to and refined the toolkit. Over 80% of organizations globally are investing a large part of their investments into developing a skilled data analytics division, thus recruiting the most innovative talent pool in the industry.