Data Scientist (H/F)
Tasks
- Analyze business needs for data science use cases
- Communicate analysis clearly
- Conduct software testing and version control
- Design anomaly detection models
- Develop diagnostic assistance models
- Document solutions and maintain code quality
- Gather business requirements
- Improve quality control using machine learning
- Industrialize machine learning solutions
- Maintain data-science solutions
- Monitor model performance in production
- Provide decision recommendations
- Share data best practices and promote data culture
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Dataiku | Git | MLflow | Machine Learning | Model Monitoring | NumPy | Pandas | Polars | PyTorch | Python | Quality Control | Scikit-learn | Seaborn
Education
Roles
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