Data Scientist (TE-DPS-AIM-2026-76-GRAP)
Geneva, GENEVA, Switzerland
CHF 61K-67K (estimate) Entry-level Full Time
Tasks
- Build applied machine learning solutions
- Communicate results to R and D teams
- Conduct feature engineering
- Design and evaluate machine learning models
- Develop federated learning methods
- Document methods and publish findings
- Perform exploratory data analysis
- Supervise team members
- Translate real-world challenges into ML problems
- Visualize data for model development
Perks/Benefits
- Formal training
- Health insurance
- Language classes
- On-the-job training
- Paid time off
- Pension fund
- Relocation package
Skills/Tech-stack
Agentic AI | Anomaly Detection | Data Modeling | Data Visualization | Deep learning | Feature Engineering | Federated Learning | GNN | Generative AI | Graph Neural Networks | Hugging Face | Image Segmentation | JAX | Language Models | Large Language Models | Machine Learning | Medical Imaging | Neural Networks | Predictive Maintenance | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Python | RAG | Scikit-learn | Signal data | Signal data modeling | Tabular Data | Tabular Data Modeling | TensorFlow | Transformers
Education
Roles
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