The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Scientist.
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.
Common technologies include Python, SQL, AWS, Azure, R, scikit-learn and PyTorch. Prominent locations are Berlin, Munich and Frankfurt am Main. Onsite and hybrid working models are most frequent, with some full-remote listings.
Specify role focus: use titles that indicate specialization (e.g. Machine Learning, Data Engineering, AI Data Scientist).
Prioritize core technologies: explicitly list Python and SQL; include cloud or ML tools (AWS, Azure, scikit-learn, PyTorch) when relevant.
Provide salary transparency: include posted gross salary ranges and reference median or average from the sample of 59 ads.
Use specific job titles: e.g. Data Scientist (Machine Learning / Data Engineering) to set expectations.
List technical requirements: include core stack (Python, SQL, Pandas, scikit-learn, PyTorch) and relevant cloud platforms.
Display posted gross salary ranges and reference median or average from the ad sample.
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