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Day in the Life: Roles & Responsibilities of a Data Scientist

According to Harvard Business Review, Data Science is the sexiest job of the 21 st century. This makes one think, why is it so appealing and what exactly a data Scientist do?

A data scientist is someone who converts raw data into meaningful information. They have the ability to extract meaningful information from data by using analytic tools, statistical methods and machine learning. They not only extract information but also process, manipulate and interpret it in such a way that it can be used to take meaningful decisions.

What you should know is that there is no typical day in the life of a Data Scientist.Unlike other professionals, they do not follow a fixed routine.

Here are some key features of a ‘typical’ day in the life of a data Scientist:

  1. They continuously work with data
    From data collection to data analysis, manipulation, classification, simplification, conversion, and more, they work on data continuously. They can be called as data magicians who convert raw data into innovative ideas and solutions. They are responsible of finding solutions to a problem by using different approaches and tools to analyze data.
  2. Continuous communication
    Another key feature of a Data Scientist’s work day is constant communication. They need to communicate with stakeholders who are not data experts. Thus, their ability to communicate is very important for the job.
    They spend a lot of time in meetings with stakeholders to make them understand the solutions they have come up with.
  3. Constant Learning
    Constant learning is another important part of a Data Scientist’s job. They need to keep up with market trends and innovations in the data science field which is ever-changing. Without learning, a Data Scientist cannot strive in his field. Thus they are always immersed in books and busy learning new ways to solve problems. This is what a day in the life of a Data Scientist looks like. They are continuously working with data, communicating their findings, and learning new trends.

You can be a data scientist too, As there are hundreds of resources online but its highly unlikely that they are personalized to understand the individual queries faced by career aspirants in the realm of Data Science.

You can visit Board Infinity as they provide rigorous hybrid training programs for students and career aspirants. Learn in-demand skills & tools pertaining to the field of data science such as R, SAS, Python and implement concepts such as data exploration, regression models, hypothesis testing etc.



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