Data Scientist II Salary in Germany

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How much does a Data Scientist II make in Germany? The average Data Scientist II salary in Germany is €59,708 as of March 23, 2021, but the range typically falls between €48,077 and €72,038. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more global market data that allows you to price your jobs around the world and compare job salaries across countries and cities on real-time compensation data, Salary.com helps you to determine your exact pay target.

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Global Market Data
50TH(Median) €59,708 25TH €48,077 75TH €72,038

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Skills to Boost a Data Scientist II Salary

Mastering key skills can significantly increase your earning potential as a Data Scientist II. According to Salary.com's Real-time Job Posting Data, expertise in Analysis can lead to a 11% salary raise, while strong Big Data skills boost pay by a 2%.

Skill Library evaluates talent skills across five levels, supported by 5-10 behavior indicators, delivering precise insights for data-driven hiring decisions.
Analysis
Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Big Data
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
More Skills...
Based on recent job listings, in-demand skills in the Data Scientist II field include Analysis (11%), and Big Data (2%). These skills reflect current market needs.
Skills Salary Demand
Skill & Salary Demand
Analysis €66,276
Analysis
€66,276
11%
Big Data €60,902
Big Data
€60,902
2%
Analysis
6.83%
Big Data
0.81%
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Career Path for Data Scientist II in Germany

Data Scientist II
Data Scientist III
Data Scientist IV

About Germany

Germany is in Western and Central Europe, bordering Denmark to the north, Poland and the Czech Republic to the east, Austria to the southeast, and Switzerland to the south-southwest. France, Luxembourg and Belgium are situated to the west, with the Netherlands to the northwest. Germany is also bordered by the North Sea and, at the north-northeast, by the Baltic Sea. German territory covers 357,022 km2 (137,847 sq mi), consisting of 348,672 km2 (134,623 sq mi) of land and 8,350 km2 (3,224 sq mi) of water. It is the seventh largest country by area in Europe and the 62nd largest in the world. El...
Source: Wikipedia (as of 03/30/2021). Read more from Wikipedia

Data Scientist II Pay Difference by Cities

City, Country Compared to national average
City, Country Rhine-Ruhr, DE Compared to national average
-3.5%
City, Country Stuttgart, DE Compared to national average
+ 0.3%
City, Country Dusseldorf, DE Compared to national average
-0.7%
City, Country Cologne, DE Compared to national average
+ 10.5%
City, Country Bremen/Oldenburg, DE Compared to national average
+ 1.2%
City, Country Frankfurt/Rhine-Main, DE Compared to national average
+ 0.2%
Employees with Data Scientist II in their job title in Cologne, DE earn an average of 10.5% more than the national average. The lower salaries can be found in Rhine-Ruhr, DE (3.5% less), Dusseldorf, DE (0.7% less).

Understand the base salary paid range for a Data Scientist II in Germany

Average Base Salary

Core compensation

48077
72038
59708
The chart shows the base salary for Data Scientist II ranges from €48,077 to €72,038 with the average base salary of €59,708. The basic salary is the employee minimum income you can expect to earn in exchange for your time or services. This is the amount earned before adding benefits, bonuses, or compensation. The base salary of the Data Scientist II may get paid difference by industry, location, and factors.

Data Scientist II Frequently Asked Questions in Germany

What is the salary range for a Data Scientist II in Germany? What is the average hourly rate?

The average salary for a Data Scientist II in Germany is €59,708 per year. The salary range for a Data Scientist II is between €48,077 and €72,038. While we are seeing hourly wages as high as €35 and as low as €23, the majority of Data Scientist IIs are currently paid an average of €29 in Germany. The average salary pay range for a Data Scientist II can vary depending on specific skills, level of skill, location, education, and years of experience. The company size, industry, and location, and numbers of available job candidates may also affect salary offers. Salaries for a Data Scientist II in Germany can differ based on any or all of these varying factors. March 23, 2021 salary.com )
Why should you negotiate salary for a Data Scientist II role? What are effective negotiation strategies?

Most hiring managers in Germany expect job candidates to negotiate salary. By doing this you will demonstrate that you are confident in your abilities and comfortable taking initiative which are traits that are beneficial for almost any role. You should try to negotiate the highest starting salary of the Data Scientist II position that you can in Germany. This starting salary of the Data Scientist II position will become the basis for all future increases while you are employed at the firm. A lower starting salary will result in smaller raises, even if the % increase is large, so try to maximize that starting base salary amount.
Once you have received an offer of the Data Scientist II position in Germany, ask for a little time to consider it. Research salary levels for the position so you will know what range of salary is applicable for your job and location. Emphasize any special skills, experience, certifications, or credentials that you have. Point out past accomplishments that will be useful in the role. Suggest a salary that is slightly higher than your target, this will give you room to negotiate a lower amount but still meet your needs. March 23, 2021 salary.com )
How do you evaluate the advantages, opportunities, and salary for a Data Scientist II role located in large metropolitan city or in a small town?

Start your evaluation by defining the most important aspects of the job and the overall lifestyle you can expect based on the location. The higher salary range of a Data Scientist II in the Germany can be one of the reasons you are attracted to a position in a large city, but keep in mind that differences in the cost of living usually result in higher living expenses and less disposable income. a Data Scientist II job in a large city of the Germany may offer a more varied experience, and greater opportunities for career progression, but may require long commutes or extended work hours. A large city in the Germany also provides more opportunities for entertainment and other activities. On the other hand, a non-metro location may offer lower salaries and fewer opportunities but have more affordable living expenses, shorter commute times, and other advantages. Consider these factors before you decide which Data Scientist II job is right for you. March 23, 2021 salary.com )
Learn more about: Compensation Packages, Employee Flight Risk, Gender Pay Gap
Last Update: March 23, 2021