![]() The Data Scientist job also offers the opportunity to travel, as these skills are in demand all over the world. In other European countries, the average Data Scientist salary is £50,585 ( $ 82,320.45) per year in London according to Glassdoor, $ 49,079.68 per year in Spain according to Indeed, and $ 80,251.93 per year in Germany according to PayScale. In France, according to our own survey, conducted among CAC 40 companies, a French Data Scientist earns between 35 000€ and 55 000€ per year. In California and New York, the average salary reaches $122,000 per year according to Burning Glass.Īs a guide, the average salary for a data scientist is $80,394 Canadian Dollars per year in Canada according to Indeed, $116,000 Australian Dollars per year in Australia according to Glassdoor, $93,000 Singaporean Dollar per year in Singapore according to LinkedIn, and R611,179 ($48301,75) per year in South Africa according to Indeed. However, it should be noted that the salary varies from state to state depending on the demand. ![]() According to PayScale, the average salary of a Data Scientist in the US is $96,106 per year. , salaries rise sharply even though the cost of living is also higher. Find out how much the data scientist can get paid based on these different criteria. In particular, it is impacted by the size of the company and its industry, but also by his or her own skills, experience, and geographic region. However, the salary of the Data Scientist depends on many factors. Logically, therefore, salaries are high and the data scientist job is considered one of the most lucrative in the technology field. In all industries, organizations compete for data scientists to exploit the data in their possession. He is therefore essential for data-driven decision-making, as business leaders rely on the results of his analysis. ![]() This expert is indispensable for cleaning and transforming data, and for discovering trends by analyzing them or creating Machine Learning models. The Data Scientist has the ability to reveal the full value of this data by processing and analysing it. ![]() Thanks to new technologies such as smartphones, the Internet of Things, and even social networks, companies in all sectors are now accumulating huge volumes of data. ![]()
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