(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. 

Key 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 

Required Skills and Qualifications 

• Master’s Degree or PhD in Computer Science, Mathematics, Statistics, 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 or R and statistical expertise  

• SQL proficiency and experience with relational databases 

• Experience creating data visualizations and dashboard using Python/R frameworks (e.g., plotly, ggplot2) and BI platforms (e.g., Power BI, SAP Analytics Cloud) 

• Pragmatic "get-things-done" mentality  

• Fluent in English, German is a plus 

• Preferred: Experience with Databricks, Azure, SAP systems, and data engineering practices 

Mindesteingruppierung/Minimum Grading: