Senior Associate Data Scientist salary in Germany

Average Yearly Salary of Senior Associate Data Scientist in Germany is approximately 102,980 EUR (102,965 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Senior Associate Data Scientist do?

A senior associate data scientist is a professional who specializes in analyzing complex datasets to extract meaningful insights and drive data-informed decision-making. They work closely with cross-functional teams to understand business objectives and develop innovative solutions using advanced statistical and machine learning techniques. Their responsibilities include data collection, cleaning, and preparation, as well as building and implementing predictive models and algorithms. Senior associate data scientists also play a key role in interpreting and visualizing data findings, presenting them to stakeholders in a clear and concise manner.

Skills: senior associate, data scientist, data analysis, machine learning, predictive modeling, data visualization
Job industry: Technology

How much does Senior Associate Data Scientist make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Senior Associate Data Scientist a well paid job?

Yes, our data show that Senior Associate Data Scientist is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Senior Associate Data Scientist?

High salary for Senior Associate Data Scientist would be somewhere between 113,278 EUR and 149,321 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Associate Data Scientist in Germany?

Living in Germany the approximate monthly expenses are: 2,136 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 102,980 EUR
Estimated Monthly Salary: 8,582 EUR
Estimated Weekly Salary: 1,980 EUR per week
Estimated Hourly Salary: 50 EUR per hour
By working as Senior Associate Data Scientist a person can save up to 6,445 USD per month or 77,338 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Germany, see costs of living in Germany.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Austria, Belgium, Czech Republic, Denmark, France, Luxembourg, Netherlands, Poland, Switzerland.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Senior Associate Data Scientist

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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