Data Scientist
Tasks
- Develop and deploy machine learning models
- Explain model logic and tradeoffs to teams
- Identify new machine learning opportunities
- Manage end-to-end model lifecycle
- Monitor feature and prediction drift
- Research prototype and validate models
- Retrain models as data changes
- Update models for latest data
Perks/Benefits
Skills/Tech-stack
Alerting | Clustering | Drift monitoring | Feature Engineering | Geospatial Feature Engineering | Jupyter Notebook | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model drift monitoring | Pandas | Prediction models | Prompt engineering | PyTorch | Python | Retraining | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning | Vertex AI
Education
Roles
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