Want to Work in Data Science? Review the Career Outlook

Data science is a field of study that desires to use a scientific approach to extract meaning and insights from data. On the other hand, machine learning guides a group of techniques used by data scientists that allow computers to learn from data. It not only supports businesses make better decisions but is also helping them to find new opportunities. Data Scientists are the superheroes of today's companies, who collect, cleanse, and organize the data using their intense skills.

What Is Data Science?

Data Science is a hot topic among skilled professionals and organizations concentrating on collecting data and drawing meaningful insights to aid business growth. A lot of Data is an asset to any organization, but only if processed efficiently. The requirement for storage grew multifold when we entered the age of big data.

Until 2010, the initial focus was on making a state-of-the-art infrastructure to store this valuable data, which would then be accessed and processed to draw business insights. With frameworks like Hadoop that have taken care of the storage part, the focus has shifted towards processing this Data. It is not confined to the thesis; it requires every evaluation. You must thoroughly know the target business domain to turn your insight into a solution.

As a data scientist, you not be limited to a countable number of datasets for analysis. Hence your domain experience should be older sufficiently. Higher is your domain expertise; the greater will be the chances of becoming a high-paid and successful data scientist.

Prerequisites for Becoming a Data Scientist

Even though the data science domain open-heartedly welcomes professionals from different backgrounds & experiences, it is worth knowing some requirements of becoming a data scientist before deciding on moving to data science as a career option. These prerequisites are not required and to have; however, they will indeed make your journey simple.

• Unconditional love for data.
• Analytical mindset and quest for logical reasoning.
• Hands-on with computers & programming languages.
• Familiarity with Maths, Statics & Linear Algebra.
• Understanding of business operations.
• The attitude of life long learner.
• Excellent command over communication.

Why Choose a Career in Data Science?

Data science was hailed as the “Sexiest Job of the 21st century”, and I am sure this is an essential factor in choosing data science as a career. Nowadays, any business, big or small, is always on the hunt to find people who can understand and deconstruct data.

Choosing a career means respecting the various fields in which data science has been built, such as statistics, maths & technologies, etc. The diversity of skills required to become a data scientist can be seen as an asset.

Now, let me draw your attention to a few essential factors for why you should choose data science as a career:

• Outstanding salaries.
• Exceptional growth & demand in the market.
• Endless career opportunities.
• Constant hard work or No tedious work.
• Part of industry is changing human lives in every aspect.
• High prestige.
• Be part of the future.

Data science has shown the capability that can transform industries and our society. With a limited supply of specialized professionals and a rapid demand, it has become a lucrative career.

However, the industry has a considerable shortage of skilled data scientists! Even though the jobs in the field of data science are seeing a steady upward trend, there is a noticeable shortage of data scientists with the right skills.

The good news is that it is a lucrative switch if you have your heart set on data science. To make this switch, those with a technical background, like engineering, can pursue a Master's or doctorate in their preferred data science stream, as experts are in high demand right now.

While data science is primarily looked at as a number-crunching field, it requires leaders to work and drive teams. This has also created vacancies for experts from other fields wanting to switch over. Marketing professionals passionate about technology can also find a place in the industry, especially in areas where futuristic technology breaks into the market.

Conclusion

Data Science has the power to transform industries and our society. It gives meaning to raw data and converts it into meaningful insights that can be used to grow the business and recognize market trends.

It is the most requested job of this decade and will be even for next. With growing awareness of the field, competition in securing jobs between professionals is also at its peak. Just remember; selecting the right career path is just a beginning; your journey starts from there.