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How does ONLEI Technologies help you in making a career in Data Science?

 ONLEI Technologies provides many opportunities to aspirants or learners who are willing to establish themselves as all-rounders in the domain of data science. Hence, getting trained in data science technologies through the courses offered by ONLEI Technologies will be a great career move.  ONLEI Technologies offers a wide range of courses dedicated to providing you with end-to-end knowledge about trending and in-demand data science skills.

How Do Top Industry Players Use Data Science?

We will look at how top industry players, such as Google, Amazon, and Visa, use data science. IT organizations need to address their complex and expanding data environments in order to identify new value sources, exploit opportunities, and grow or optimize themselves efficiently. Here, the deciding factor for an organization is what value they extract from their data repository using analytics and how well they present it. Some of the biggest companies that are hiring data scientists at competitive salaries are listed below:

Google

Google

Google is by far the biggest company that is on a hiring spree for trained data scientists. Since Google is mostly driven by data science, artificial intelligence, and machine learning, it offers one of the best salary packages to its employees.

Amazon

Amazon is a global e-commerce and cloud computing giant that is hiring data scientists on a large scale. Amazon needs data scientists to find out customer mindset and enhance the geographical reach of both e-commerce and cloud domains, among other business-driven goals.

Visa

Amazon

An online financial gateway for most companies, Visa does transactions worth millions in a single day. Due to this, the need for data scientists is huge at Visa to generate more revenue, check fraudulent transactions, customize products and services as per customer requirements, etc.


Salaries and Jobs Available in Different Countries

Data Science is expanding at a mind-blowing rate, resulting in increased demand for skilled data scientists around the globe. According to PayScale, the average annual salary of a skilled data scientist is US$94,491. However, the salary offered may differ based on location and experience.

Below-mentioned is five countries with the most opportunities for data scientists:

  • United States (US): The US has the highest demand for skilled data scientists. In the US, companies have spent more than a billion dollars to acquire data scientists from different countries. The average annual salary of an entry-level data scientist in the US is US$85,000; the salary can go up to US$136,000 p.a. based on your expertise and experience in the field.

  • Germany: Data scientists in Germany can earn about €5,960 per month. The salary of a data scientist in Germany ranges from €2,740 per month to €9,470 per month. Germany offers the most lucrative salary packages for the role of a data scientist.

  • United Kingdom (UK): Similar to Europe and the US, various industries in the UK are now hiring skilled professionals to manage, maintain, and analyze large amounts of data. A data scientist in the UK can earn up to £50,000 p.a.

  • China: China is planning to lead the world in artificial intelligence by the year 2030 by investing in IT industries and making government policies more accommodating. An experienced data scientist in China can earn up to ¥350,000 p.a.

  • India: India has the fastest-growing industries in several sectors such as healthcare, defense, logistics, and artificial intelligence. Similar to the rest of the world, India too is facing acute cheallenges in finding skilled data scientists. So, if you have the right skills and experience as a data scientist, you can earn up to ₹1,000,000 p.a.

If you want to become a Google Data Scientist with the best salary, then you need to be at the top of your game. If you are wondering how to learn Data Science and the scope of Data Science, then ONLEI Technologies is the right place to start your incredible Data Science journey.

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