Technological development runs parallel to development in the Data Science domain. Top Jobs Salary in Data Science in 2022 and it is easily one of the most promising career opportunities in the current times. The domain offers job opportunities with good salaries. The demand for data science experts is rising, so it might be a good opportunity for you to get into the field. Data science is an excellent career choice in India in terms of growth, salary, lifestyle, and the future. Data will drive the 21st century as we rapidly advance in every industry. There is a massive shortage of specialists in this field. In this article, you’ll learn about Data Science, the role of a data scientist, the skills needed as a data scientist, top companies hiring data scientists & much more.
What Is Data Science?
Data Science combines various algorithms, tools, and other principles to discover hidden patterns in the raw data. Data Extraction, Data Transformation, Statistical Analysis, Data Manipulation, Machine Learning (ML), Data Visualization, and Predictive Modeling are some of the most popular fields in Computer Science based on Data Science techniques. Data Science is primarily used to make decisions and predictions, using predictive analysis, causal analytics, and machine learning.
What Is The Role Of Data Scientists?
As the name suggests, Data scientists are data ranchers, gathering and analyzing large sets of structured and raw data. They analyze, process, and model data and then extract & interpret the results to create actionable plans for companies and other organizations. Data experts utilize technology and social science skills to find trends and organize data.
They use industry knowledge, data understanding, and scepticism of existing assumptions to find solutions to various challenges. A data scientist’s work typically involves making sense of raw, unstructured data from sources such as smart devices, social media, emails, and other datasets.
Most Important Skills For Data Scientists
There are a variety of skills needed to become a successful Data Scientist. However, anyone can become a data scientist as long as they have the following skills and aptitude:
1. History of Programming Languages
Data science is a programming-heavy gig, and candidates must be comfortable using several languages. You’ll learn Python, R, and any JavaScript-related tech language required in your organization.
2. Core Capabilities
In addition to being a proficient programmer, you should have at least some experience in the following areas: data visualization and exploration, statistics, data mining, machine learning, distributed algorithms, and systems architecture.
3. Data Science Skills
Just like becoming a good writer or speaker is about honing your craft and learning from others who do it well, this isn’t something that can be learned from a book or job descriptions. It’s essential to be a quick learner, especially when it comes to programming. This can either be through community resources like Stack Overflow or directly from an employer.
4. Actions
Candidates should have hands-on experience building prototypes and devising solutions to actual problems. This means they should be able to go from the top-level understanding of a domain and its data, through modelling, processing, and analysis steps, up to the final deployment of models trained on massive datasets.
5. Work Experience
Candidates must indicate their job titles and responsibilities in their cover letters and resumes. It’s also helpful to share what kind of projects you were responsible for and how they were completed. Specifically, you should include how you analyzed the data, how you worked with it, and what decisions were made by the team. This can create a much more engaging story than a generic cover letter boilerplate.
Data Science Industry Specific Specializations
The Top Jobs Salary in Data Science in 2022 domain is an umbrella domain under which various industries & specializations are included. A few of these specializations are given below:
1. Oil and Gas: It uses a variety of procedures, including information extraction and categorization, to discover numerous patterns, interactions, links, and other pertinent ideas.
2. Human Resources: HR management, often known as people data, is the study of social issues and the application of information to answer crucial questions about your company.
3. Energy: Energy deals with massive amounts of data gathered through practical methods and techniques. The use of complicated analytics to this information aids prediction and provides good energy advice.
4. Insurance: Insurers can use IT to filter through Internet data to understand better their customers’ requirements, goals, and recommendations.
5. Finance: Finance analysis applications include fraud detection, risk assessment, loan management, user information, and marketing.
6. Media: The ability to gather and analyze information from social media platforms to aid business goals and track the effectiveness of actions due to those decisions is called media.
7. Sales and Marketing: Data analysis examines information obtained from marketing campaigns to discover trends such as how a strategy influences sales, consumer behaviour, geographical preferences, and innovation preferences.
8. Hospitality: It is critical in the hotel business for organizational models, client confidence, and productivity. It allows hoteliers to tailor guest experiences, implement more ingenious hotel pricing methods, and grow their customer base.
9. Supply Chain: A firm can better estimate market expectations by examining customer data through supply chain analysis. It assists a company in choosing which items should be reduced as they become less lucrative or determining what customers want after the initial order.
Data Scientists’ Salary Based on Location
The average salary of data scientists or analysts in India is around ₹825,000. However, this can change depending on experience and other factors. Mumbai has the most job prospects and the highest yearly data scientist salaries in India for data innovators, followed by Bangalore and New Delhi. However, because Bangalore is India’s startup capital, it often boasts the most startup job opportunities.
As a fresher data scientist or analyst, you can expect around ₹540,000 P.A. If you have 2-3 years of experience, your salary might be around ₹786,882. According to Payscale, a data scientist’s income in India varies depending on where they work. The average pay of Data scientists in various Metropolitans in India is provided below.
- Chennai – Rs.794,403 per annum
- Mumbai – Rs.788,789 per annum
- Hyderabad – Rs.795,023 per annum
- Bangalore – Rs.984,488 per annum
- Kolkata – Rs. 402,978 per annum
- Pune – Rs.725,146 per annum
Top Companies Who Hire Data Scientists
Data is the new oil that has a global reach. To name a few:-
- Fractal Analytics
- Accenture
- Amazon
- Mu Sigma
- Tiger Analytics
- Wipro
- IBM India Private Limited
- Mercedes-Benz
- Sony
- HCL
- CTS
- TCS
- Fidelity
- Deloitte
- E&Y
- PwC
- And Many startups
Conclusion!
Top Jobs Salary in Data Science in 2022 in India and in any other country in the world is excellent. You can choose to learn data science from your home and get a job. But with proper research, because the course prices are high and it takes almost a year to learn. So, keep this in mind and enroll in a course that provides great exposure after completion with a flexible learning pattern. Skill sets are often deciding whether you bag a high-paid job or not. We hope this article provided you with some insightful information about job opportunities for data scientists.
