Data Scientist Salaries worldwide (2023)

11-final-2022

The data science profession is undoubtedly a popular career and one of the most popular ones in the current data-driven era. Many young people direct their careers into this challenging field for a number of reasons and the dominant factor is this one.pays good wages and benefits.

It's no surprise that data scientists are capable of adding immense value to an organization. From data processing to data cleaning, each stage requires perseverance, lots of math and statistics, and some technical skills.Data scientists wantedto find trends and create models, whether to better understand product usage and overall health, or to serve as prototypes to be incorporated back into the product when the foundation is laid. As a result, data scientists are an integral part of data-driven design decisions and feeding those decisions back into their organizations.

Find a person who can do it allDuties Required of a Data Scientist, on the other hand, is challenging and the rivalry between these professionals is fierce. As a result, companies around the world are scrambling to offer top salaries to talented data scientists.

The Diverse Salary Range in the Data Science Field

The income of a data scientist is determined by several factors:

experience
professional position
Industry
company size
geography/location
background education

Data Scientist Salary based on experience

Experience is one of the most important elements of data scientist compensation, according to a study conducted by O'Reilly's 2016 Data Science Salary Survey.

Data science specialists earn an average of an additional $2,000 to $2,500 per year of experience.

The following are the latest salary trends based on experience from the 2020 Burtch Works Data Science Salary Study:

Entry-level data scientist salary is $95,000 per year
The salary of a mid-level data scientist ranges from $130,000 to $195,000 per year.
The salary of a Senior Data Scientist, typically Senior Data Scientist ranges from $165,000 to $250,000 per year.

Let's Examine Salary of Data Science Professionals in Top Countries of the World

Despite the fact that data scientists are paid well all over the world and the growing demand for data scientists never subsides, data scientist salaries vary greatly between companies and countries. Let's look at them in each country:

USA

According to reports, the United States is one of theCountries that pay the best data scientists🇧🇷 The migration of data scientists from other countries to the United States justifies this reality. For US data science professionals, the professional earns an annual salary of $120,000, significantly more than in any other country in the world.

Australia

Australia comes secondin the world for the high salaries of data scientists. In Australia, a data scientist earns an average of A$92,450 per year.

Israel

Tel Aviv, Israel's rising IT powerhouse, offers career opportunities for novice and experienced data scientists. According to a survey, data professionals in Israel earn a combined annual fee of $88,000.

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Canada is known for developing and implementing cutting-edge technologies that provide jobs and opportunities for data scientists. Data professionals in Canada earn a total annual fee of $81,000, or approximately $43.70 per hour. A starting salary starts at $77,870 per year and goes up to $117,750 per year.

Germany

In Germany, a data scientist can earn up to €5,960 per month.Data scientists in GermanyHe earns between 2,740 and 9,470 euros a year. This is the highest salary for data scientists.

Netherlands

In the Netherlands, the total annual compensation for data scientists is $75,000. However, theThe Netherlands offers a range of opportunities for new data scientistsdevelop and learn more about the job.

Japan

In Japan, data scientists earn a total annual salary of $70,000. This is the average value for professionals in entry-level positions. An experienced data scientist in Japan earns up to 825,000 yen per month. The salary of a data science professional in Japan generally ranges from 421,000 to 1,270,000 JPY, with the highest being 1,270,000 JPY.

United Kingdom

In the UK, data scientists can earn up to $66,000 a year. Junior Data Scientists earn between £25,000 and £30,000 a year, rising to £40,000 depending on the number of years of experience.

Italy

In Italy, data scientists can earn up to $60,000 a year. The most common monthly salary for a data scientist working in Italy is 5,840 euros. The salary scale ranges from 3,840 euros to 8,930 euros per month.

France

The total annual remuneration of data scientists working in France is €76,900. The salary scale varies between 41,500 euros and 116,000 euros.

Data Scientist Salary in Mexico

There are a number of jobs for data scientists in India that offer opportunities to advance their careers for both experienced data scientists and data enthusiasts looking to start a career in this industry. According to Naukri, one of the most popular job search sites in India, there are more than 50,000 jobs available for data scientists in India.

The average income of adata scientists in indiait's $708,012 according to PayScale.

For a recent college graduate in India, the average starting salary for data scientists is Rs 511,468 per annum.
A data scientist with 1-4 years of experience earns an average of Rs 773,442 per year at the start of his career.
Employees with 5-9 years of experience are expected to earn 12-14 lakhs INR per year. As per the salary scale, the average salary of a mid-level data scientist is Rs 1,367,306 per annum.
A professional with extensive experience or in managerial positions can expect to earn between INR 24,000 and INR 1,000,000 per year.

A data analyst's compensation increases by 50% when moving from their assigned role to a higher role.

Data science career salary in India also varies depending on the city you work in. As per the report provided by Payscale, here are the different compensation packages that major cities in India are offering data science professionals:

Mumbai - INR 788,789 per year
Chennai - INR 794,403 annually
Bangalore - INR 984.488 per annum
Hyderabad - INR 795.023 por ano
Pune - INR 725,146 annually
Kolkata - INR 402,978 annually

Company-based salaries

There's no denying that big companies top the list of highest paying data jobs. They also have a track record of raising wages by 15% a year. The top recruiting companies that pay the highest salary for data scientists in India are:

IBM Corp – INR 1,468,040 per year
Accenture – INR 1.986.586 por ano
JP Morgan Chase and Co – INR 997.500 por ano
American Express – INR 1.350.000 por ano
McKinsey and Company – INR 1.080.000 pro Jahr
Wipro Technology: INR 1,750,000 per year

Other top recruitment companies in India are:

is sigma
Accent,
Tata Consulting Services Limited
Amazon.com Inc.
Accenture e
HCL Technologies Ltda.

The world's top recruiting companies and their average annual salary package for data scientists are listed below:

Google: 152.856 $
Apple: $145,974
Gorjeo: $135,360
Facebook: 134.715 $
Paypal: 132.909 $
Airbnb: 127.852 $
Microsoft: 123.328 $

Skills Based Data Scientist Salary

You need more than a master's degree and knowledge of the languages and technologies needed to manage data to land such a high-paying job. Here are some more interesting facts:

R is the most important and most requested skill, followed by Python. In India, a python salary is estimated to be around 10.2 lakhs INR per year.
An expert who is knowledgeable in big data and data science has the advantage of receiving a 26% pay increase compared to those who are experts in only one of the two fields.
SAS users earn between 9.1 and 10.8 lakhs INR per year while SPSS specialists earn between 7.3 and 7.3 lakhs INR per year.
Machine learning income in India starts at around 3.5 lakhs INR and can increase to 16 lakhs INR over time. Python is a leading machine learning language and Python developers in India generate some of the highest revenue in the world.
Knowledge of artificial intelligence can help you improve your overall career. AI compensation in India is not less than 5-6 lakhs INR if you are a beginner in this industry.

To maximize your income, now is the time to build your data skills!

Make your data science career your own

Today, data is and will continue to be the omnipresent force driving our lives, and the use of data science is growing like never before. Each area opens doors for data science professionals to extract relevant insights from such massive amounts of data, from finance to healthcare, education and banking.

Data scientists are hard to come by, especially when it comes to the right mix of education and experience. At a minimum, data scientists must be able to write code. In fact, data scientists who code four to eight hours a week earn the highest salaries, while those who don't code earn the lowest salaries.

Data scientists must also be competentin big data technologies, including open source tools, cloud computing and data visualization, as well as mastering new and emerging ones. Knowing how to use these technologies is not enough; Data scientists also need to know how to use data to uncover actionable insights that help their business grow.

Additionally, a job in data science requires excellent business acumen, scientific curiosity, and leadership and communication skills. If you have them, then this will significantly affect the salary.

Advanced degrees in quantitative subjects such as data science, applied mathematics, statistics, computer science, engineering, economics or operations research are common among data scientists. An MS in Data Science will provide the specific training needed for acareer in data science🇧🇷 Don't you think you're ready for a full master's degree? A data science certificate can help you keep up with the rapidly evolving field.

Conclusion: Despite the challenges, data scientists remain the most sought-after professionals in the industry. Being a good data scientist requires not only technical skills, but also a thorough understanding of business needs, collaborating with multiple stakeholders, and convincing executives to act on the information provided.