Senior Data Scientist, Analytics & Intelligence; m​/f​/d

We're looking for a pragmatic, hands‑on Data Scientist to join our People Analytics & Intelligence team and drive the data‑driven transformation of our HR organization. You're the person who doesn't just build models but knows how to deliver real business impact through end‑to‑end solutions.

• Translate complex business questions into actionable data analyses and visualize results to enable business decisions
• Develop models and analyses on topics along the employee life cycle (e.g., hiring, talent identification and development, retention and workforce planning)
• Conduct statistical analyses (e.g., regression, clustering, causal inference) and explain findings in ways non‑technical stakeholders can understand
• Experiment with emerging technologies for sentiment analysis and automated insights generation

• Work with various data sources (HRIS, payroll & time management, ATS, survey tools, etc.) and integrate them into our analytics ecosystem
• Help to optimise our data infrastructure – from ETL pipelines, data preparation to data modelling
• Ensure data quality, governance standards, and develop automated data validation processes

• Automate recurring reporting to create capacity for strategic analysis
• Develop self‑service solutions (dashboards, conversational GenAI) that empower HR and business leaders to make data‑driven decisions
• Implement best practices in code documentation, version control, and testing

• Master’s Degree or PhD in Computer Science, Mathematics, Statistics, Psychology, Information Systems, or related field or Bachelor‘s with 5+ years of relevant experience
• 3+ years of hands‑on experience in Data Science/Analytics, ideally with HR focus
• Strong programming skills in Python (required); experience with R is a plus, combined with solid statistical expertise.
• Working knowledge of SQL and relational databases, with the ability to query, extract, and understand structured data.
• Experience creating data visualisations and dashboards using Python/R frameworks (e.g., Pandas, PySpark) and BI platforms (e.g., Power BI)
• Pragmatic "get‑things‑done" mentality
• Fluent in English, German is a plus
• Preferred:
  Experience with modern data platforms such as Databricks and Microsoft Azure; familiarity with enterprise data environments (e.g., SAP Datasphere), data preparation, feature engineering, and agile ways of working is a plus.

Drive the future of Fresenius– join #futurefresenius and apply now through our online portal to make an impact!