Principal Data Scientist
Tasks
- Analyze experimental data
- Build and deploy machine learning models
- Collaborate on AI ML requirements
- Deploy models in production
- Design machine learning models
- Document methodologies and results
- Engineer data pipelines
- Ensure compliance
- Extract actionable insights
- Improve model accuracy
- Operationalize models with responsible data handling
- Optimize model performance
- Validate models
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Data Cleansing | Data Engineering | Data Pipelines | Data Wrangling | ETL | Feature Engineering | Language Processing | Machine Learning | Model Validation | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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