Data science is termed as the sexiest job of the 21st century and has become a vital part of every organization. We live in a world of technology where an enormous amount of data is generated every single second. The source can be the day to day records, social networking sites, corporate statistics, etc. Proper management and utilization of data help to understand various dynamics better and gather valuable information. This is where data science comes into play. Raw data is analyzed in various ways to help the organization in making game-changing decisions.

It is one of the highest paying jobs and has created a lot of buzz in the business world. It seems an attractive job profile, but many fail to understand that along with these impressive pros come a few disadvantages too. Knowing both sides of the coin will help to truly realize if a data science career is what you want.

Data Science as a Career- Advantages

Highly-paid job

Data is a lucrative career option and is one of the highest-paying jobs. The average starting salary of a data scientist in India is approximately Rs. 7,50,000 and above.

AI is the future

There is no doubt that Artificial intelligence is the future. What's worth considering is, AI uses data science by extracting insights to derive solutions for complex problems. Data science is and always will be in demand in the coming years. It is one of the fastest-growing job and a highly employable job sector.

Wide job opportunities

Data science is high in demand with a low supply of resources. Data science opens up a gateway of job designations such as Data Analyst, Business analyst, Research analyst, Big data engineer, Analytics manager, etc.

Interesting and versatile profile

Data science allows you to work on multiple things such as research, mathematics, coding, analysis, etc. It is an exciting and challenging profile that will help you learn new things every day. Data science is a versatile career option and is required in various fields such as E-commerce, banking, consultancy services, healthcare industry, etc.

Data Science as a Career- Disadvantages

Lacks clarity

While data science is a buzzword, but the term is misleading. Going by the name, people believe it has to do with managing data scientifically. The role of a data scientist is hugely influenced by the organization and its nature of business. In a nutshell, data science is rebranding statistics and how you optimize it to your benefit.

Complex

A data scientist must be up to date and well versed with various tools and techniques. This demands expertise, knowledge, and understanding of every single tool and apply it accordingly in various dynamic situations. Also, apart from the skills and knowledge, the data scientist must have a vast knowledge of the domain in which they are dealing for optimum results.

Data privacy

The data used to make decisions might breach the customer's privacy. Data security and preservation is one of the biggest concerns. Any minor gap can lead to data leakage and misuse of data.

Lacks expertise

It's fascinating how data science combines various skills to manage and make data-driven decisions. One must possess multiple skills like machine learning, statistics, programming, business strategies, etc. The drawback here is one might not get to gain in-depth knowledge or expertise in one field alone.

Summary

We hope this article helped you to develop a better understanding of the field. Being one of the lucrative jobs, the perks and benefits are always in the spotlight. Considering the cons will help you better understand the other side of the coin. Data science is hands down an evolving job sector and a powerful tool impacting several walks of life. We hope this article encourages many young aspirants and helps them gain a better understanding of this field.

It's time to upskill yourself for the best in-demand jobs. Take one step towards your career goal by getting in touch with the data science coaching experts near you.