Expert for Data Validation and Imputation | Expertin oder Experte für Plausibilisierung und Imputation (w/m/d) im Referat Künstliche Intellig...
Statistisches Bundesamt
Job Summary
This role is situated within the Artificial Intelligence and Imputation unit of the Federal Statistical Office (Statistisches Bundesamt), serving as a competence center for modern data processing. As an expert, you will conduct research and develop new methodologies for data validation and imputation to enhance the quality and efficiency of official statistics. Your day-to-day work involves developing software solutions using R, SAS, and CANCEIS, and transitioning these methodologies into production environments. Beyond technical development, you will provide consulting and training to specialized departments and represent the office at national and international conferences. This position is particularly attractive due to its permanent contract status, the opportunity for civil service (Verbeamtung), and a significant IT allowance of up to €1,500 per month. It offers a high degree of flexibility with extensive remote work options and a strong focus on work-life balance within a public service framework.
Required Skills
Education
Master's degree or University Diploma in Statistics, Mathematics, Computer Science, Data Science, Econometrics, or Quantitative Methods (minimum grade of 'Good').
Experience
- Long-term relevant professional experience in the field of data validation and imputation
- Extensive experience in scientific research and the clear presentation of complex technical topics
- Proven experience in software development for statistical applications using R or SAS
- Experience in machine learning and process automation is highly advantageous
- Experience working within official statistics or standardized data environments
Languages
Additional
- European Master on Official Statistics (EMOS) certificate is preferred. Candidates must possess or be willing to acquire qualifications related to information security. Position is available as full-time or part-time.
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