Job Description

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.

Your Responsibilities:

Analytics & Insights

• 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

End-to-End Implementation

• Work with various data sources (HRIS, payroll & time management, ATS, survey tools, etc.) and integrate them into our analytics ecosystem

• Help to optimize our data infrastructure – from ETL pipelines, data preparation to data modeling

• 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

Your Qualifications:

• 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 visualizations and dashboard 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!​