onsite
Data Scientist - Methodology & Household Statistics - Statistisches Bundesamt
Data Scientist
Data Scientist responsible for designing and implementing statistical methods, building predictive models, and delivering insights for household surveys using Python, R, and advanced analytics techniques.
About the role
Key Responsibilities
- Develop and refine statistical methodologies for household data collection and analysis.
- Design, implement, and validate predictive and descriptive models using Python, R, and machine‑learning libraries.
- Perform data cleaning, integration, and transformation on large survey datasets using SQL and data‑wrangling tools.
- Create clear visualizations and dashboards to communicate findings to stakeholders and support policy decisions.
- Collaborate with survey designers, demographers, and IT teams to ensure methodological soundness and data quality.
Requirements
- Master’s degree or higher in Statistics, Economics, Computer Science, or a related quantitative field.
- Proven experience with Python and R for statistical analysis and machine‑learning model development.
- Strong knowledge of statistical modeling, hypothesis testing, and survey methodology.
- Hands‑on experience with SQL and data‑visualization tools (e.g., Tableau, Power BI, ggplot2).
- Excellent problem‑solving skills and ability to communicate complex results to non‑technical audiences.
Skills
pythonsqlmachine learning