(Senior) Data Scientist, People Analytics & Intelligence (m/f/d)
(Senior) Data Scientist, People 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.
Your Responsibilities:
Analytics & Insights
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Translate complex business questions into actionable data analyses and visualize results to enable business decisions
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Develop models and analyses on topics along the employee life cycle (e.g., hiring, talent identification and development, retention and workforce planning)
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Conduct statistical analyses (e.g., regression, clustering, causal inference) and explain findings in ways non-technical stakeholders can understand
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Experiment with emerging technologies for sentiment analysis and automated insights generation
End-to-End Implementation
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Work with various data sources (HRIS, payroll & time management, ATS, survey tools, etc.) and integrate them into our analytics ecosystem
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Help to optimize our data infrastructure – from ETL pipelines, data preparation to data modeling
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Ensure data quality, governance standards, and develop automated data validation processes
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Automate recurring reporting to create capacity for strategic analysis
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Develop self-service solutions (dashboards, conversational GenAI) that empower HR and business leaders to make data-driven decisions
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Implement best practices in code documentation, version control, and testing
Your Qualifications:
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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
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3+ years of hands-on experience in Data Science/Analytics, ideally with HR focus
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Strong programming skills in Python (required); experience with R is a plus, combined with solid statistical expertise.
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Working knowledge of SQL and relational databases, with the ability to query, extract, and understand structured data.
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Experience creating data visualizations and dashboard using Python/R frameworks (e.g., Pandas, PySpark ) and BI platforms (e.g., Power BI)
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Pragmatic "get-things-done" mentality
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Fluent in English, German is a plus
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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!
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