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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