Data Science is a dynamic space, and it is one of the fastest-growing careers for this decade. The demand for Data Science Courses is currently very high in all parts of the world. 1.5 lakh new job opportunities are on the way to making it. Companies across all industries have realized that data is making prediction easier, as a result of which data scientists have become very important for any organization.
Data Scientists are one of the highest-paid job roles in various organizations. Around 1400 data scientists in India earn more than 1 crore. In most companies in India, Data Scientists earn almost INR 28,00,000 per annum. Currently, there are about 70% of jobs available for Data Scientists with less than 5 years of experience.
Data Science facilitates data-driven techniques for decision-making and making more growth in the company. Speaking of the future or career of Data Science, there is an abundance of work for Data Scientists in India. Huge amounts of data both in structured and unstructured formats are retrieved regularly. In order to decipher such data, the companies are reaching out to Data Scientists. Some of the advantages of using Data Science are the following:
Proficient data scientists earn very high salaries but sometimes some external factors also influence the salary. Geographic location plays an important role, Data Scientist jobs in bigger cities offer much higher salaries than in other small cities. As they become more efficient and gain more experience, their salaries also increase significantly. Some of the highest-paid data science jobs are mentioned below:
A data analyst examines data to uncover key insights about a company's customers and ways the data can be used to solve problems. They also share this information with company executives and other stakeholders. Data Analysts should have enough knowledge about A/B testing and tracking Web Analytics. They are required to manipulate and transform large data sets as well as assist higher-level executives.
A data scientist's job is to analyze data to find actionable insights. Identifying the data-analytics problems that offer the most opportunities to the organization is one of the specific tasks. Choosing the appropriate data sets and variables. The position of Data Scientist is a more technical role than a data analyst. Data scientists perform various tasks such as cleaning, organizing, etc.
They create data funnels and deliver funnel software solutions. Their job role includes running various tests and experiments to monitor the performance and functionality of the system. Machine learning engineers use big data tools and programming frameworks to make sure that the raw data is filtered correctly.
Machine Learning Specialists are required to do some research for new approaches such as algorithms, and unsupervised and supervised learning techniques. Machine Learning scientists are hired as Research Scientists or Research Engineers.
Applications Architects track applications, and also supervise how they operate within the company and how users interact. They are responsible for creating the application architecture, which includes elements like the user interface and app infrastructure, as suggested by the position title.
Companies | Salary (Per Annum) |
---|---|
Flipkart | INR 17,00,000 |
Walmart | INR 22,75,000 - INR 28,00,000 |
[24]7 AI | INR 16,00,000 |
INR 13,00,000 - INR 22,00,000 | |
Citrix | INR 6,00,000 - INR 27,00,000 |
Amazon | INR 5,78,000 - INR 19,98,000 |
Hewlett Packard Enterprise | INR 8,00,000 - INR 22,00,000 |
IBM | INR 13,50,000 |
Delloit | INR 12,00,000 - INR 13,00,000 |
Accenture | INR 10,50,000 |
In the current global setting, data science has seemingly endless potential. Therefore, it should come as no surprise that the highest-paying positions in data science favour candidates who regularly update their skill sets. Your capacity for critical thought along with your knowledge of current industry trends can make you stand out from the crowd.
Extended Business Value: Data analysis would cost much more as the big data landscape becomes more complex and the need for improved governance grows. In order to lessen our reliance on centralized systems, we would require innovative chip infrastructures. So, the development of scalable AI and ML solutions would need to be sped up.
The Development of Data Pipelines: As more data is produced, we will require better filtering and analysis tools. Adding Artificial Intelligence skills to data pipelines would enable graph analytics, which has enormous potential for disaster preparation and disaster prediction.
The industry is changing, thanks to data science. The duties and requirements of some of the data science positions with the highest salaries were covered in this article. Candidates who have the necessary abilities can make up to INR 28,00,000 per year working for major companies like Walmart, Amazon, Flipkart, etc. The usage of Data Science is not only restricted to the technological sector, it is also used in the social sector.