The Balance Maintainer Between the Business World and Data World

A-DATA SCIENTIST often termed as big data wranglers who have the skill sets and the knowledge base of mathematicians or statisticians to perform the interdisciplinary activities such as predictive analysis, visualization, and presentation.

THE DEMAND FOR DATA SCIENTISTS has acquired a high pace of growth in popularity of the jobs associated with the field of data science. Entering into the field of data science will not itself develop the ability required for understanding the data well. The proper understanding of data requires the effective analysis and understanding of the business problems and needs to possess the problem-solving skills.

The job of a data scientist varies as per the industries’ and the companies’ requirements such as the work experience, the skill sets etc. and hence the salary packages to vary with the job profiles of the applicants.

The hypes and benefits involved in the field of data science have made this promising field and successful for the candidates pursuing the data science courses.


The person possessing the required skill sets and the knowledge base can easily pursue their career in the field of data science:

a) Analytical skills

b) Mathematical or statistical skills

c) Programming skills

d) Machine Learning skills

e) Sound communication skills

f) Visualization and presentation skills.

The ever-growing field, the data science, is sought out by many multinational companies today has made it be titled as the most desired job of the 21st Century.

The number of skilled and proficient professionals available is less than the demand of the data scientists. Space created needs to be filled and the same can be done when the current generation will start pursuing their career in the field of data science.


Data professionals possessing the skill sets and the knowledge helps in uncovering the hidden solutions of the complex business problems. This can be done by analyzing the datasets by utilizing the mathematical and the scientific skills at the same time.

The role of a data scientist is challenging as it is a broad and buzzy field. It involves extracting valuable perceptions out of the raw information and converting the insights into useful information. This requires the application of tools and methodologies associated with the analysis and interpretation of data.

The useful information extracted further helps the organization in improving the productivity and the profitability. At the same time, it serves as a medium to identify the market opportunities which can serve as a medium to earn additional revenue and also the emerging threats which might serve as barriers in the growth and development of the organization.

The role of a data scientist is wide as it is not limited to a particular area or field. It covers the activities which a statistician or a computer scientist can perform. Hence it is highly fruitful to develop a career in the field of data science.