What is Data Science?
Data science is the study of data. It involves developing methods of recording, storing and analysing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data that may be structured and unstructured. Data science mainly covers any type of data analysis using computer applications and algorithms.
How Data Science is helping the future?
Data Science enables retailers to influence the purchase habits, but this is not limited only to this. Data science application extends much further. Data science can be used to improve public health through wearable trackers that motivate individuals to adopt healthier habits and can alert people to potentially critical health issues. Data science is playing an effective role during the world health crisis due to the pandemic COVID-19. The data science has been used to alert the people about social distancing measures and has also helped to identify the affected individuals using contact tracing mechanisms. Data science plays a major role in identification and treatment of corona patients across the globe.
Data Science can also improve diagnostic accuracy, accelerate finding cures for specific diseases and stop them from spreading. Data Science has critical applications across most industries. One example is that data used by farmers for efficient food growth and delivery by food suppliers to cut down food waste. The data science was also used by non-profit organisations to boost fundraising efforts and predict funding needs.
Top 9 careers that are shaping the field of data science
There are many career opportunities available for the data science professionals. But there are certain careers that are predicted to shape the future of data science. In this article we try to explore those careers that are buzzing around in the field of data science.
Here are some of the leading data science careers that one can break into with an M.Sc Data Science degree
1. Business Intelligence Developer: BI Developer
Typical job Requirements for BI Developer:
- Design and develop strategies to assist business users in quickly finding the information they need to make informed decisions
- Build custom data analytic applications using BI tools and facilitate understanding in the end users
Average Salary Package
The average fresher BI developer will be earning around 8 to 10 lakhs per annum.
2. Data Architect
Typical Job Requirements: Data Architect
- Ensure to develop performance centric data solutions using computer programmes and algorithms
- Build and develop numerous data analytical applications for cross-platforms like desktops, tablets and mobile devices
Average Salary Package
The Data Architect will easily earn around 10 lakhs to 15 lakhs per annum
3. Application Architect
Typical Job Requirements: Application Architect
- Design and develop applications for providing data science solutions
- Track the behaviour of applications that are used in a business and find out their interaction behaviour with the end users
Average Salary Package
An Application Architect will be getting a salary that range from 15 lakhs to 20 lakhs per annum
4. Infrastructure Architect
Typical Job Requirements: Infrastructure Architect
- Oversee that all the business systems are working at optimal condition
- Support the development of new technologies and system requirements
Average Salary Package
An Infrastructure Architect will easily earn about 15 lakhs to 20 lakhs per annum
5. Enterprise Architect
Typical Job Requirements: Enterprise Architect
- An enterprise architects are responsible to closely work with stakeholders, management and subject matter experts for developing new technologies
- Build applications using data science techniques that provide data interpretation solutions for the professionals
Average Salary Package
An Enterprise Architect will be earning around 15 to 20 lakhs per annum
6. Data Scientist
Typical Job requirements: Data Scientist
- They are responsible to transform and manipulate large data sets for business development opportunities
- They are also required to perform many other functions like tracking web analytics for inflow of data. Recommend solutions to increase data flow for the websites
Average Salary Package
An average Data Scientist will be earning about 10 lakhs to 15 lakhs per annum
7. Data Engineer
Typical Job roles: Data Engineer
- They are responsible to perform batch processing and real-time processing on gathered and stored data in an organisation
- Interpret the stored and gathered data to give them proper shape and make it readable formats for stakeholders
Average Salary Package
An average Data Engineer will easily get about 15 to 20 lakhs per annum
8. Machine Learning Scientist
Typical job requirements: Machine Learning Scientist
- Design and build machine learning applications using computer programming and algorithms
- Research and recommend new approaches for data usage and algorithms and incorporate them into machine learning systems
Average Salary Package
A Machine Learning Scientist will easily earn around 20 lakhs per annum
9. Machine Learning Engineer
Typical Job Requirements: Machine Learning Engineer
- As a machine learning engineer, one is required to develop various applications and softwares that are related to machine learning programmes
- They are also required to create funnels and deliver software solutions for systems that run on machine learning programmes
Average Salary Package
An average Machine Learning Engineer will be paid nearly about 20 lakhs per annum
Constant Demand for Data Scientists
The technology today is more focused towards development of automation systems in Artificial Intelligence. Data scientists play a crucial role in development of the automated systems. It is clear that there is a need for professionals who can understand a business need and device a data-oriented solution and implement it effectively. The data science experts are needed in almost all the fields from government security to dating apps. Millions of businesses and government departments rely on big data analytics to succeed and serve better their consumers. Data science careers are in high-demand and this trend will not be showing any downward signs anytime soon. For the next several years the data science field will be ruling the technology industry and data scientists can expect excellent career growth in this area.
Conclusion
The above-mentioned job roles are considered as most crucial by many technology gurus. The M.Sc Data Science students can witness a surge in demand in the field of data science. The lack of skilled professionals will create more scope for fresh M.Sc Data Science graduates in next few years. The current trends show that many organisations are eagerly looking for M.Sc Data Science post graduates and are ready to pay competitive salaries for them.