Data Scientist (TE-DPS-AIM-2026-75-GRAP)
Geneva, GENEVA, Switzerland
CHF 61K-67K (estimate) Entry-level Full Time
Tasks
- Create technical documentation and user materials
- Define AI platform requirements and solution architecture
- Deploy models to production using Kubernetes
- Design and implement data pipelines for operational data
- Gather operational use cases and user stories
- Package and deploy models using APIs and container services
- Perform data preprocessing, feature engineering, and exploratory analysis
- Run machine learning experiments for anomaly detection failure prediction and recommendations
- Support system integration testing and performance monitoring
- Track experiments validate models and ensure reproducibility
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Apache Spark | Containerization | Data Analysis | Experiment tracking | Exploratory Data Analysis | Failure Prediction | Feature Engineering | Kubernetes | MLflow | Machine Learning | Model Validation | NumPy | Pandas | Podman | PyTorch | Python | REST APIs | Reproducibility | Scikit-learn | Series analysis | Time Series | Time Series Analysis
Education
Roles
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