Updated: Oct 6, 2019
Data Science is an emerging field which involves the study of data by mining, storage,
analysis, visualisation, and its interpretation to create insights.
These insights assist a number of companies to make much more apt decisions which are data-driven. By using both unstructured and structured data, a data scientist utilises statistics, math and computer science fundamentals to solve complex problems and automate repetitive tasks.
Currently, data science jobs are extremely lucrative and highly sought-after jobs offering a high pay-scale. For consecutively three years, Glassdoor has ranked the job of data scientist as the best job in USA, with median salaries as high as $110,000.
Data science is definitely a good career option, but only if you have interest in statistical
modelling, data analysis, and computation theories.
There are a lot of varied roles in data science industry. A data visualization expert, a machine learning expert, a data scientist, data engineer etc are a few of the many roles that you could go into. Depending on your background and your work experience, getting into one role would be easier than another role. For example, if you a software developer, it would not be difficult for you to shift into data engineering. So, until and unless you are clear about what you want to become, you will stay confused about the path to take and skills to hone.
Majority of organisations are searching for bright data science experts who can function seamlessly with data. However, there is a shortage of data scientists while the demand is much higher. Studying data science as a career field will raise your chances of acquiring a good job and you will be working in best-in-class organisations, accumulating, interpreting, and utilising data in an extensive way to benefit the company and help it achieve its goals. Not only is data science the fastest growing job category on LinkedIn but it is also predicted to create 11.5 million positions. It has wide range of applications in the healthcare, banking, consulting, and e-commerce industries.
Organisations are using sets of historical data to automate machines for performing repetitive
and redundant tasks. This is done using the techniques of machine learning, enabling
industries to create better products tailored for unique customer experiences. Moreover, a
data scientist often holds the freedom to pursue their self-concepted ideas and conduct
experiments to deduce interesting patterns and trends, which in turn can help organisations
improve their turnover.
A data scientist may also be required to provide inputs to the marketing strategy by building and training a machine learning model for making reliable future predictions.
Data scientists are considered to be the torch-bearers who can light the path to a glorious
future. They can bring about unprecedented advancements in the field of sociology, finance,
medical science, and business. You as a data scientist will have a chance to work first-hand
on new age technologies such as machine learning, artificial intelligence, big data analytics,
deep learning, etc. Career in data science will shoot up your chances to land with one of the coveted jobs, including titles such as Data Analyst, Data Engineer, Machine learning Engineer, Data science Generalist, and many other high-paying jobs that involve working on data.