Data Scientist
Tasks
- Automate forecasting and scenario simulation
- Build and maintain data science solutions in Databricks and Azure Machine Learning
- Collaborate with data engineers on data features and model industrialization
- Collect clean and prepare structured and unstructured datasets
- Communicate findings to technical and non-technical stakeholders
- Deploy and monitor machine learning models in production
- Develop train validate and optimize machine learning models
- Document models assumptions and methodologies
- Evaluate model performance with statistical metrics
- Identify business problems for machine learning solutions
- Integrate predictive models into business workflows
- Perform exploratory data analysis
- Retrain models as needed
Perks/Benefits
- Cultural activity vouchers
- Customizable benefits package
- Gym access
- Hybrid work
- Life insurance
- Lunch vouchers
- Medical dental services
- Private medical subscription
- Private retirement pension
- Public transport cost deduction
- Vacation cost deduction
Skills/Tech-stack
Anomaly Detection | Azure ML | Azure ML Studio | Azure Machine Learning | Classification | Clustering | Cross-validation | Data Preprocessing | Databricks | Experiment design | Feature Engineering | Feature Selection | Generative AI | Hyperparameter Tuning | Language Processing | ML Studio | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | NumPy | Pandas | Probability | PySpark | Python | Recommendation Systems | Regression | SQL | Scikit-learn | Series forecasting | Statistical Testing | Time Series | Time Series Forecasting | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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