Researcher / Data Scientist (f/m/x) for AI-enabled Environmental Data Harmonisation and Quality Control
Tasks
- Benchmark AI enabled QA QC methods on time series datasets
- Build reproducible data pipelines and services for continuous ingestion
- Collaborate on technical documentation guidelines training and scientific publications
- Design workflows for environmental data ingestion integration deduplication harmonisation
- Detect anomalies fill gaps detect sensor drift assess uncertainty
- Develop hybrid QA QC methods with rule based statistical and machine learning approaches
- Enrich metadata and add semantic annotation with provenance
- Prepare training and evaluation datasets for AI models
Perks/Benefits
- Family office support
- Flexible working hours
- Germany job ticket
- International office support
- Remote work options
Skills/Tech-stack
APIs | Anomaly Detection | Data Imputation | Data version control | FAIR-Data | Machine Learning | Metadata standards | Python | R | Semantic annotation | Series analysis | Testing | Time Series | Time Series Analysis | Uncertainty Quantification | Version control
Education
Roles
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