Our world is gradually being augmented by technologies that have created a deep impact on our lives. Our lifestyle has drastically changed due to the advancement of technologies that several technological tools have become an integral part of our lives.
Besides, the Internet is being embraced by all. The data generated in business is humungous and is instrumental in getting revenue. Data science is a key skill which is making these to happen.
The data science domain is in high demand nowadays. The organization’s bottom line is highly enhanced through data science, and they can make better and informed decisions. This is a data-oriented world, and data scientist play a crucial role in businesses.
There has been great increase in the vacancies for data science jobs and the associated profiles in the last few years. Data science is all about getting solutions to problems through data.
You have to dig into the data and assess it. Storytelling is also an important aspect of data science; you have to explain your findings to the appropriate people.
Data science is the perfect tool to find out what happened in the past, and according to the inputs gained you can predict the future. With all the advantages associated with it, there is no surprise that data science is an in-demand skill nowadays.
What does a data scientist do?
Data science is pivotal in developing insights and getting value from data. You have to leverage the best of programming, mathematics and statistics for this purpose. The value of data is rising day by day, and you can save a huge amount through leveraging data. It is impossible to imagine a business without data nowadays.
The responsibilities of a data scientist include:
- They work on different kinds of data and make sure that the optimum outcome is got from the raw data.
- They do thorough data analysis and help the organizational leaders make informed decisions.
- They keenly observe the market and frame models accordingly
- They will generate reports from the gathered data
- They will put to use data science techniques including artificial intelligence and machine learning.
- They will look with careful attention on all activities and make needed changes
- They will collaborate with other data scientists and filter the data for better outcome
- They will communicate the results to the stakeholders.
Technical Skills needed to become a data scientist
One should understand that there is vast difference between the traditional data analyst and data scientist. Data scientists require more business knowledge compared to data analysts. The most important technical; skills needed to become a data scientist in India are:
Python has an inherent flexibility to solve any issue. Besides, it runs on any operating system and is useful when data analysis activities need to be integrated with cloud computing platforms and web apps.
Data scientists can deploy R in data science to rapidly carry out data analysis. It is due to the syntax of R that one can build complex models with only minimal number of code.
If you are new to the world of data science, SQL is the ideal choice . Querying and handling data will be a smooth sail with SQL.
Whether it is data exploration or data sampling or data filtering, Hadoop is very useful in the world of data science.
Matlab is very proficient in handling data from a multitude of sources.
A perfect blend of technical and non-technical skills can only lead to a successful career in data science. The soft skills include communication with empathy, being a good story teller, problem-solving, etc.
Why you should become a data scientist?
Handling data and making sense of it will relieve the organizations from the problem of uncertainty. Data-driven analytics and innovation are now playing a major role in various businesses. Data science has gone a long way in transforming every business, and those who embrace it early are seeing massing growth.
The importance of data science field can be attributed to the ever-evolving data. Once you start exploring data science, you will gain a vast spectrum of skills that will let you to make the best use of data and assist organizations with their business objectives. You will also dive deep into new domains that develop from data science including artificial intelligence, machine learning, big data etc.
Top companies hiring data scientists
- Hewlett Packard Enterprise
- McKinsey & Company
- Tech Mahindra
Challenges in the data science career
Data scientists have to prepare data and enhance its quality. They have the great responsibility of making it precise and consistent. But the challenge lies in assessing huge sums of data with patience. Besides data security is another important concern for a data scientist. The confidential data are becoming more susceptible.
The next challenge lies in seamless communication with the different stakeholders. This is the reason data scientists are much in demand nowadays.
Can a fresher become data scientist in India?
You might wonder whether you can get an entry-level job in data science. The good news is that if you have basic knowledge of Microsoft SQL, good grasp of mathematics, appreciable knowledge of statistics and knowledge of at least one programming language like R programming, Python or Matlab, you can shine in the data science job.
Data scientist salary in India
Now we have come to the most awaited part of this blog. What is the salary of data scientist in India? Lets segregate it location-wise, experience-wise, and skill-wise:
Data science salary in India by location
- Bengaluru – 9,85,000 p.a.
- Chennai – 7,94,000 p.a
- Hyderabad – 7,95,000 p.a
Data science salary in India by experience
- The average salary for a novice data scientist in India is 5,11,000 annually.
- An employee with 1 to 4 years of experience can earn an average of 7,730,00 annually.
- A data scientist with 5-8 years of experience can expect to earn between 12 lakhs and 13 lakhs annually.
Data science salary in India by skills
A master’s degree alone won’t help if you want to get into the best-paying data science job. You should also know different programming languages that are deployed for handling data and should have a good grasp of machine learning.
Skill Average Salary
Machine learning – 9,12,000 p.a.
R – 8,54,000 p.a.
Python – 8,18,000 p.a.
There has been an appreciable rise in vacancies for data science jobs and associated occupations in recent years. Irrespective of the nature of the company, big data is gaining momentum nowadays. Data-driven businesses can reap lot of benefits. Data scientists take charge of breaking down huge sets of data into insightful information.
When you have knowledge of data science, you can expand your horizons to data analyst, data engineer besides being a data scientist. What are you waiting for? Enter the fascinating world of data science after learning it thoroughly from Softlogic!