The infinite power of the internet and technology has made it so that the entire world now runs on information or data. And with data being the new currency of the 21st century, no wonder that data science job profiles are the most sought-after careers globally. As Data Science keeps progressing, it gives rise to new and challenging jobs in the domain.
Thus, aspirants from a diverse range of education and professional backgrounds are gravitating towards data science. The most attractive aspect of a data science role is that you get to experiment, explore, and work with new-age technologies like artificial intelligence, machine learning, and deep learning to develop solutions for real-world problems.
In this article, we’ll talk about the 11 most in-demand data science jobs that you can aspire to pursue!
Top Data Science Jobs
1. Data Scientist
One of the most demanding jobs in the Data Science field has to be a Data Scientist. A data scientist finds, cleans, and organises data for companies. Their job includes examining both small and big data. They have to analyse large amounts of complex data — both raw and structured data to find meaningful insights that can be transformed into actionable business decisions. Their job also encompasses creating products like recommender systems that are used in eCommerce platforms like Flipkart or Amazon.
Compared to a Data Analyst, Data Scientist is a much more technical job. A Data Scientist can get a job at one of the top companies like Twitter and Facebook. The average salary of a Data Scientist in India is about Rs. 10,00,000 per year.
2. Machine Learning Engineer
Creating data funnels and providing software solutions is the primary task of a Machine Learning Engineer. They need excellent statistics and programming skills along with in-depth knowledge of software engineering. Along with designing and building machine learning systems, they also have to run tests to monitor the performance of ML systems. They also run experiments and examine the functionality of such systems.
Machine Learning Engineers can easily land an excellent job in companies like Apple, Tinder, Expedia, etc. The average annual pay of a Machine Learning Engineer Rs. 11,04,000.
3. Machine Learning Scientist
Machine Learning Scientists often go by titles like Research Engineer or Research Scientist. They research new data algorithms and approaches like deep learning, supervised and unsupervised techniques. They work in almost every area of science imaginable. Geoscience, pharmacology, meteorology, medical research all these fields require a Machine Learning Scientist. They plan and conduct experiments and record and analyse data to present original solutions to problems.
The best companies you can work for if you are a Machine Learning Scientist include Amazon, Facebook, Apple, and Uber. The average salary of a Machine Learning Scientist in India is Rs. 6,52,000.
4. Application Architect
An Application Architect has to track the applications used within a business and track their interaction with each other and the users. They are responsible for building the complete architecture of applications and designing features like user interface and infrastructure.
Top companies which hire an Application Architect include IBM, Facebook, Google, and many more. The salary of an Application Architect in India is approximately Rs. 18,15,000 per year.
5. Enterprise Architect
An Enterprise Architect is responsible for aligning the technology needed to execute the organisation’s objectives with the company’s strategy. This can be done by designing an architecture to meet the company’s needs, and for this, they need to have a complete understanding of the company’s technological needs. They must also design, manage, upgrade, and maintain IT architectural models and IT support systems. For this, they need to collaborate with colleagues from other departments and stakeholders.
The company’s business planning needs to be prudently examined by the Enterprise Architect to meet these expectations. A skilled Enterprise Architect can get placed in companies like Cisco, Microsoft, or Boeing. The average annual pay of an Enterprise Architect is Rs. 20,75,000.
6. Data Architect
Data Architect is another great career choice in the Data Science field. Their primary task is to create multi-platform presentations and design analytics applications. They are responsible for upgrading these applications, creating new database systems, improving the functionality and performance of existing systems, etc. They also work to provide access to various database analysts and administrators.
Top companies where data architects can work include Amazon, IBM, Health Catalyst, Guidewire, and Bain &Company. The average salary of a Data Analyst is Rs. 19,03,000 annually.
7. Infrastructure Architect
The work of an Infrastructure Architect is to oversee all the business systems at working at their optimal level and also that they can support the new system technologies, innovative skills, and requirements. An Infrastructure Architects main job is to build and administer different information systems so that the enterprise’s infrastructure can be supported. They report directly to the topmost in the management and often lead a small team.
The companies that are excellent for this position are Abbott Labs, Hewlett-Packard, Dell, etc. The annual average pay of an Infrastructure Architect in India is around Rs.19,95,000.
8. Data Engineer
The most important task of a Data Engineer is to perform real-time processing and batch processing of stored and gathered data. Their job is to make work easier for Data Scientists, and hence they have to work in close collaboration with them. They have to build and maintain data pipelines and create a robust interconnected data ecosystem. This will make information more accessible, readable, and understandable for Data Scientists. They can also improve the quality and quantity of data by accessing the self-created or available data analytics.
The best companies for Data Engineers to work, include Spotify, Verizon, General Motors, etc. The salary of a Data Engineer is approx. Rs. 8,15,000 annually.
9. Business Intelligence (BI) Developer
One of the best data science job roles is a Business Intelligence Developer. They are always in high demand in the corporate world. BI Developers help businesses in designing and developing strategies that help them quickly find the information they need to make better business decisions. This is a highly tech-savvy job. They use BI tools and build custom BI analytical applications according to the company’s needs to facilitate the users’ understanding of their system. They also have to regularly update and improve IT solutions with the help of coding, debugging, testing, and implementation of tools.
Business Intelligence Developers can work for companies like DollarShave club, Liberty Mutual, Microsoft, Tableau, SAP, etc. The annual average pay of a BI Developer is around Rs. 5,55,000.
10. Statistician
A statistician plays an important role in the Data Science world. It revolves around collecting, analyzing, and interpreting data to analyze the trends and relationships that can be used to make informed decisions for the company’s growth and profit. They also have some daily responsibilities like designing data collection processes, intimating the stakeholders about the findings, and advertising the company’s strategies.
Some of the best places for a Statistician to work include Google, OLA, and GlaxoSmithKline(GSK). The pay of a Statistician in India is on average, Rs. 5,21,000 per year.
11. Data Analyst
A Data Analyst manipulates large data sets and transforms them to meet the desired analysis for companies. Their job includes web analytics tracking and A/B testing tracking. They also communicate their findings from the analysis to the organizational leaders so that they can make better and informed decisions based on trends and insights.
Data Analysts can work for companies like MU Sigma, Fractal, Flipkart, Myntra, Dell, etc. The average salary of a data analyst in India is around Rs. 4,00,000 per year.
Conclusion
Data science is growing as we speak, creating an increasing demand for skilled experts in this field. However, while the market demand keeps escalating, there’s not enough talent to fill the data science vacancies — the demand for data science professionals is much greater than their supply. Naturally, companies are ready to pay top dollar to qualified and skilled professionals. This is precisely the kind of opportunity that you must tap into. Also, since data science technologies have penetrated almost every industry, you can find employment prospects across numerous sectors, including IT, tourism & hospitality, retail, eCommerce, manufacturing, telecommunications, logistics, education, entertainment, and much more!
You can join upGrad’s Premium Data Science Courses to excel in your career as Data Scientist, Data Analyst, Business Intelligence (BI) Developer, Data Engineer, Machine Learning Engineer, etc
upGrad has a wide range of courses for Data Science like — Executive PG Programme in Data Science, Master of Science in Data Science, Advanced Certificate Programme in Data Science.
