Data scientist job roles to more than double in five years! Are you ready with the right skills?

 Digitisation has been at the forefront since the 2020 pandemic and organizations, globally, have invested in emerging technologies to augment their operations and efficiency. As this journey of digital evolution continues, data science and analytics has taken a centre stage.

Increasingly, companies are realising the importance of data to optimize their business operations. Data enables business leaders and decision-makers to take informed decisions and ensure prosperity and growth.

Data science jobs are becoming increasingly in demand as big data and technology industries grow. Find out which jobs are the hottest and how to prepare for your career. The data science industry is growing at a rapid pace.

The Data Science future is studded with career opportunities. Future of Data Science 2030 is estimated to bring opportunities in various areas of banking, finance, insurance, entertainment, telecommunication, automobile, etc. A data scientist will help grow an organization by assisting them in making better decisions.

Is data science highest salary?

Highest salary that a Data Scientist can earn is ₹26.0 Lakhs per year (₹2.2L per month)

These are the top skills of a Data Scientist based on 8621 jobs posted by employers.

• Python.

• Machine Learning.

• Data Science.

• SQL.

• Deep Learning.

Data science-related job roles are one of the most in-demand tech jobs in the world right now and estimated to be the third-highest paying.

UNDERSTANDING DATA – DATA EXTRACTION, TRANSFORMATION AND LOADING

With numerous data sources and applications available, Data Scientists must know how to read and extract usable information and insights from raw data. This means they must know what the best application to use, when to use it and how.

They must be able to convert the raw data into a suitable format or structure for easy querying and analysis.

PROGRAMMING LANGUAGES - PYTHON AND R PROGRAMMING

Python and R Programming are the most common coding language required in Data Science roles for organizing unstructured data sets and generating necessary outcomes that are desired by companies, irrespective of their domain.

To manipulate the data and apply sets of algorithms as and when required, Data scientists should possess expert knowledge of these languages.

Python is the current favorite programming language for big data, data science, and machine learning projects. Its simple syntax is relatively easy to learn. But more importantly, it can handle giant data sets.

The demand for this skill has been high across industries like healthcare, finance, government, energy, hospitality and logistics. In the next five years, the demand for data scientist with knowledge of Python is expected to go above 10 million.

MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

The emerging technologies to look out for in the next few years, data science professionals adept at or building ML and AI technologies stand out and are treated as royalty in the tech world.

An “intelligent” computer uses AI to think like a human and perform tasks on its own. Machine learning is how a computer system develops its intelligence. One way to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain.

 STATISTICS AND PROBABILITY

A probability is a number that reflects the chance or likelihood that a particular event will occur. Probabilities can be expressed as proportions that range from 0 to 1, and they can also be expressed as percentages ranging from 0% to 100%. As the demand for data scientists continues to increase exponentially, it is critical for the industry to have access to skilled talent. Aspiring candidates need to focus on acquiring the required skill sets and continually upskill themselves.

In-demand roles that require specialization include data engineer, AI engineer, and business analyst – salaries for these roles average around Rs 45 lakhs and are climbing fast.

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