A stream that does not need the traditional bachelor's or master's degree, but rather the right knowledge, skills and expertise. That is Data Science for you, dynamic in its nature of working.

Over the past decade, demand for Data Scientists has increased drastically which has also led to more students and professionals going for the course to build a successful career. Experts and Analysts have also stated that Data Science is one of the top professional jobs with skills that everyone should be familiar with in the 21st century. Data Science has an evolving nature, which also means that there are always new career paths that are flexible and full of opportunities.

If you are interested in making a career in Data Science, you have to first get acquainted yourself with the hard and soft skills. Machine learning, statistics, analysis, etc. are all part of hard skills while good communication, critical thinking, and problem-solving abilities can help you excel in this field by being good at soft skills.

Data Science has become one of the hottest and trendiest professional sectors. This is not just a booming industry but also an everlasting one. The need for Data Scientists will always be there for any business that relies on data and statistics to make effective and informed decisions.

 

Data Science- The Luminary of Professional Town 

The field of Data Science is honestly an amalgamation of different fields coming together to help us assist large volumes of data, analyse it, find trends in the data and gain insight into it.

Data Science is based on fields like Mathematics, Computer Science, IT, etc. Several industries presently function on this formula of running data based analysis by Data Scientists to make their operational decisions. Data Science oscillates between the IT and the business world and drives different sectors of the professional world by teasing out insights from complex databases that companies use for professional growth.

 

Different Professional Job Roles in Data Science 

  • Data Mining Engineer: Their primary role is to examine the data of a business, create algorithms to analyse further, and also carefully assist the information brought by any third-party sources. Their average salary is INR 6-15 LPA.
  • Business Intelligence Analyst: Also called as ABI, these Analysts usually keep an eye on the trend ups and downs of the market and use the database to analyse and develop a clearer picture of the company's present status concerning those trends. Their average salary is INR 7-16 LPA
  • Data Scientist: A Data Scientist understands the analytic agenda of a business case, deciphers the data, explores the different patterns, and explains how they can affect or make an impact on the business. They also work on the different algorithms to dive deep into the data bases to come up with solutions to tackle the effects. Their average salary is INR 9-20 LPA
  • Data Architect: A Data Architect works with System Designers, Developers, and users to create a blueprint for the management system for the users to maintain, integrate and centralise data sources while protecting them. Their average salary is INR 7.2-15 LPA
  • Machine Learning Engineer: MLE makes use of algorithms that help replicate how humans act and further analyses the data and interprets it with building accuracy over time. They are also involved in designing AI that further helps to learn the mechanism of machine learning. Their average salary is INR 8-19 LPA




Why Data Science? Here's Why! 

We already have discussed how the field of Data Science is in demand and how many job opportunities it holds for professionals. There are a few more reasons why Data Science is the right career for you. These are:

  • In-demand industry, so more job opportunities
  • More opportunities, higher packages and better career growth
  • Exponential personal and professional development
  • Invasion in all different kinds of fields like healthcare, e-commerce, marketing, etc.
  • Gold Rush of opportunities in different ways

 

How can Professionals Build a Career in Data Science? 

Data Science has been ranked as one of the top 20 jobs worldwide that not only pays according to industry standards, but also promises a golden future. Digitalisation today has made businesses rely more and more on using data to make any decisions and so the need for Data Science Professionals has only increased with time.

But how does a professional get started in the field of Data Science? Here are a few tips and tricks that you can use if you are a professional who is interested in working in this domain.

  • Novice? Get Some Experience: If you are a professional who has no knowledge about this field or has no experience in it, it is better to first gain some experience. You can apply for internships, or if offered, can start with an entry-level job. This way, you can gradually learn about the field, note its bits and pieces and also consider if this is the right profession for you. You can use your soft skills like good communication, critical thinking abilities, etc. if you do not have any familiarity with the hard skills needed in Data Science. You can gradually learn about the hard skills that are vital in the field of Data Science.
  • A Degree May Help: If you are a professional wanting to switch your career and have zero knowledge about the domain, getting a degree or a diploma first might actually give you a competitive edge. The degree helps you gain knowledge and intensifies your skills and expertise. If you're already in this profession then an MBA in data science can help you secure high-level managerial positions in the companies.
  • Picking the Right Role: Be it a novice or a professional, picking the right role for yourself is a determinant of your career growth. Always assess your skills, carry out proper research and figure out what role suits you the most in this field of programming. This way, you can understand what skills you have, and what more is needed to learn for you to develop a thriving career in Data Science.
  • Know the Demands: One of the biggest blunders that professionals usually make is that when they are planning to switch careers, they do not know the demands of the industry. Before you go for any professional role in Data Science, always research the demands of the industry and the kind of work you will be expected to do. Now take your time and assess if you have the right skills and expertise for this role or whether a different position is more suitable. If you do not have the right skill set or the knowledge that is required in a particular profession, switching a career to that is nothing but a mistake.

 

Takeaway 

Data Science is an evolving, opportunistic and in-demand profession of the 21st century. It means that working in the field of Data Science will open a door of multitudinous opportunities for one. If you are a professional looking to enter the Data Science field, it is important to first assess yourself, verify if you have the right skill set and then switch to this field. Getting a degree or pursuing a course that familiarises you with this field would be better.