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 D evelop 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 S trong programming skills in Python or R and statistical expertise SQL proficiency and experience with relational databases Experience creating data visualization s 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 Englis h, German is a plus Preferred: Experience with Databricks, Azure, SAP systems, and data engineering practices