Top 10 Big Data Technologies

Data Science is a subject that involves extracting information and insights from organized and unstructured data using scientific approaches, processes, algorithms, and systems. It applies that knowledge and actionable insights to a variety of application areas. Every field is revolutionized by data science. Due to the growing usage of data science in various sectors, the world requires more data scientists. Data science’s importance is undeniable since it can benefit enterprises. Data science plays a critical role in security and fraud as enormous amounts of data enable drilling down to uncover tiny abnormalities in data that might expose security system’s weaknesses detection.

 Who is a data scientist? 

A data scientist is someone who gathers, researches, and interprets vast volumes of information. Developing strategies for studying data, preparing data for analysis, examining, analyzing, and visualizing data, generating models with data using programming languages such as Python and R, and implementing models into apps are some of the responsibilities of a data scientist.

Data scientists work in groups to extract insights from large amounts of data for various businesses. This information can be used for forecasting customer behaviour and uncovering new income prospects.

As organizations attempt to extract useful information from extensive data, data science skills have increased in demand. Huge volumes of structured, unstructured, and semi-structured data are generated and collected by large corporations through the internet.

Data scientists can assist businesses in developing a business plan that is based on study rather than intuition.

Computer scientists, database and software programmers, discipline experts, curators, expert annotators, and librarians are professionals who might work in data science or become full-time data scientists. In job postings, data scientists may be advertised as “machine learning architects” or “data strategy architects.”

Data Science Job Profiles

Data professionals are scientists who work in the data science industry. Here are the most typical data professional job profiles –

  • Data Analyst
  • Database Administrators (DBA)
  • Software Developers/Engineers
  • Analysts of data
  • Architects of Data
  • Administrators of Information Systems
  • Managers

Responsibilities of Data professional’s –

Data professionals are in charge of overcoming unexpected obstacles and assisting their firm, organization, or enterprise. A data professional must be able to solve complex problems and drive business value.

These major obstacles are highlighted here.

  • Data-driven decision making— A data professional role is to help in making decisions and applying them in operations.
  • Pipelines Development — A data professional is in charge of creating a model and making it deployable.
  • Statistical Models – a data expert is in charge of creating or designing algorithms. Test them successfully.

Which Country has more data science job opportunities?

  • United States

The United States is among all countries because it offers a wide range of opportunities for data professionals. When it comes to salary, no one can match America because it is a well-paid job; even entry-level employees can earn the highest pay compared to other countries.

The US is the world’s technology giant; they offer very high salaries to get the right candidate and target the cream layer.

  • Europe

There is a scarcity of data experts in Europe, particularly in machine learning and artificial intelligence (AI). There are several opportunities for data professionals in Paris, Berlin, Amsterdam, London, etc. Sweden holds the number one position in terms of shortage of talent. Germany would need 3 million data professionals by the end of 2030.

Professionals are required in Deep machine learning, artificial intelligence, blockchain, robots, and cloud security/encryption in European countries. In Europe, there are numerous options to work as a data scientist. They are also looking for talent from other nations to fill qualified specialized openings.

  • United Kingdom 

According to job agencies, the United Kingdom has a high demand for data experts, particularly Al skills. Demand in the United Kingdom will grow rapidly compared to some of the other countries such as Australia, the United States, and Canada.

  • China

China is also regarded as an ideal location for data specialists, particularly when it comes to Al and other emerging technologies.

China wants to become the world leader in Al technology implementation by the next decade.

It is a major player in the Al sector. Police officers will soon be able to wear facial-recognition eyeglasses developed by Chinese businesses. A police officer can recognize a wanted criminal using camera-mounted sunglasses.

Like other countries, China has potential data professional prospects since it is experiencing a professional data shortage. As local personnel fail to meet industry needs, data experts with Al skills are in high demand. As a result, Chinese enterprises are looking for talent worldwide to meet the demands of their sector.

  • Canada

Canada can employ aspiring data scientists at high salaries. The Canadian government and large corporations are pouring money into building a framework for artificial intelligence policy, ethics, and legal implications.

Top 10 countries with highest paying average salary for a data professional

Following is the list of the highest paying countries for data science jobs –

  1. Denmark
  2. Switzerland
  3. Australia
  4. Belgium
  5. USA
  6. Israel
  7. Italy
  8. Singapore
  9. UK
  10. Norway

Current Scenario in India

India is a testbed for some of the most cutting-edge AI applications with its vibrant young population, ranging from security to healthcare to logistics. To achieve the aims of Digital India, the IT industry as a whole will require a 50% increase in personnel with digital capabilities.

India is also known for being a high-tech nation. For data specialists, India offers a plethora of chances. They are constantly putting down foundations on which to launch an intriguing artificial intelligence application. Their goal is to train at least half of the workforce in digital skills.

India has a severe scarcity of local people with expertise in artificial intelligence, machine learning, and user interface/user experience (UI/UX). Deep learning has a ratio of 0.53 skilled individuals to open positions, whereas machine learning has a ratio of 0.63. In India, the average salary of AI professionals rises with years of experience. Therefore, you can avail yourself of the growing career opportunities in the country.

The hiring industries are IT, e-commerce, BFSI, healthcare, retail, and manufacturing. Mumbai/Pune, Delhi NCR, Bangalore, Chennai, and Hyderabad are the major cities where most AI and machine learning development occurs.

The Bottom Line

The data science sector is a fast expanding discipline that touches practically every aspect of life. Nowadays, everyone is producing useful data, but we don’t know how to do it. Big firms and organizations delve into the data, process it, and analyze it to produce reliable findings. Almost every industrialized country uses data science to improve the lives of its citizens. Professionals in data science earn good wages in their home countries, but they have the right to relocate for greater opportunities. They should keep in mind that the cost of living and other expenses differ by country.

Understand the job requirement before shifting to a better-package compensation because it may alter from what is advertised. As you gain experience in your area, your prospects of earning large wages increase, so keep that in mind when considering other options. Additionally, if you enhance or polish your talents by doing a data science course, you have a better chance of landing a high-paying job in your own country.

Data science experts have more prospects in the United States, Canada, the United Kingdom, China, Denmark, and India. However, it is important to evaluate the high-package salary and the cost of living, taxes, job obligations, and the country’s way of life.

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