The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Scientist in Munich.
Arrows indicate whether each category share increased or decreased from the previous period.
Advertised gross annual salary ranges from matching IT job ads.
Salary figures refer to gross salary ranges advertised in job ads, not measured employee compensation.
Median advertised gross annual salary for the industries with the highest job ad presence.
Data Scientist roles account for 66 % share in the evaluation. Frequently cited technologies include Python (14.7 % share), SQL and cloud services such as AWS (share +2.1 percentage points) and Azure. Working models are mainly Onsite (59.6 %), Hybrid (36.4 %) and some Full remote (+3.0 percentage points). Industries with visible listings include Internet/IT, Industry/Manufacturing, Consulting and Banking/Finance.
Define role by seniority and focus (e.g. ML vs. engineering) because Data Scientist represent 66 % share in the evaluation.
Prioritize tech stack: lead with Python, SQL and cloud skills (AWS, Azure); Python shows 14.7 % share.
Disclose a listed gross salary range; use the median and the average (sample size 11) as orientation.
Use a clear title with role and seniority, e.g. 'Data Scientist – Senior (Machine Learning)'.
Show a listed gross salary range: e.g. 70,000 EUR–110,000 EUR or cite median/average from the evaluation.
Highlight tech stack prominently: Python, SQL, AWS, Azure, R, Power BI, Apache Spark, Google Cloud Platform.
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