Data Scientist
EUR 35K-40K (estimate) Mid-level Full Time
Tasks
- Analyze clinical data
- Build datasets for clinical use cases
- Collaborate with data governance and IT teams
- Develop deep learning models
- Develop machine learning models
- Develop reusable notebooks and libraries
- Document experiments models and results
- Ensure data security and privacy compliance
- Implement feature engineering
- Perform exploratory data analysis
- Prepare and explore data for predictive models
- Validate and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
API Development | Agile | CI/CD | Classification | Clustering | Cross-validation | Data Drift | Data cleaning | Decision Trees | Deep learning | Dimensionality Reduction | FHIR | Feature Engineering | Git | GitLab | Gradient boosting | HDFS | HL7 | Hive | Impala | Jira | Jupyter | Jupyter Notebook | Kafka | Kanban | Keras | MLOps | MLflow | Machine Learning | Missing Value Imputation | Model Monitoring | NLP | Nifi | NumPy | Outlier Detection | Pandas | PySpark | PyTorch | Python | Regression | SQL | Scala | Scikit-learn | Scrum | Spark | Spark MLlib | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Biomedical Engineering | Bachelor of Science in Computer Engineering | Bachelor of Science in Mathematics | Bachelor of Science in Physics | Bachelor of Science in Statistics
Roles
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