Manager Data Science
109.131 € (EUR)/yr
52,47 € (EUR)/hr
11.568 € (EUR)/yr
The average manager data science gross salary in Hanover, Germany is 109.131 € or an equivalent hourly rate of 52 €. This is 3% lower (-3.136 €) than the average manager data science salary in Germany. In addition, they earn an average bonus of 11.568 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Hanover, Germany. An entry level manager data science (1-3 years of experience) earns an average salary of 75.050 €. On the other end, a senior level manager data science (8+ years of experience) earns an average salary of 123.794 €.
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125.463 € (EUR)
15 %
Based on our compensation data, the estimated salary potential for Manager Data Science will increase 15 % over 5 years.
This chart displays the highest level of education for:
Manager Data Science, the majority at 100% with bachelors.
Typical Field of Study: Management Information Systems
See how education can impact your salaryThe cost of living in Hanover, Germany is 11% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHanover (German: Hannover [haˈnoːfɐ] ) is the capital and largest city of the German state of Lower Saxony. Its population of 535,932 (2021) makes it the 13th-largest city in Germany as well as the fourth-largest in northern Germany after Berlin, Hamburg and Bremen. Hanover's urban area comprises the towns of Garbsen, Langenhagen and Laatzen and has a population of about 791,000 (2018). The Hanover Region has some 1.16 million inhabitants (2019) and is the largest in the Hanover–Braunschweig–Göt
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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