[EAF] Senior Data Science & Analytics
Tasks
- Build machine learning algorithms
- Clean and transform data
- Conduct testing and evaluation
- Create dashboards and reports
- Design data visualizations
- Develop statistical models
- Ensure compliance with quality standards
- Evaluate model accuracy
- Participate in technical design reviews
- Perform exploratory data analysis
- Perform feature engineering
- Perform peer code reviews
- Share knowledge of data science techniques
- Solve classification problems
- Solve clustering problems
- Solve regression problems
- Troubleshoot analytical problems
- Validate model performance
Perks/Benefits
- Annual leave
- Birthday leave
- Charity events
- Company trips
- English-speaking environment
- Fitness and sport activities
- Flexible working time
- In-house entertainment facilities
- Lunch allowance
- Onsite opportunities
- Parking allowance
- Premium health insurance
- Professional training
- Snacks
- Team building events
- Tech talks
- Year-end party
Skills/Tech-stack
Classification | Clustering | Data Analysis | Data Management | Data Visualization | Exploratory Data Analysis | Feature Engineering | Keras | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Machine learning deployment | Model Evaluation | Model Validation | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | R | Regression | Scikit-learn | Statistical inference | Statistical modeling | TensorFlow | Vector Database
Education
Roles
Regions
Countries
States
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