Data Scientist
Tasks
- Build analytical dashboards
- Build data pipelines and feature stores
- Deploy models to production
- Design machine learning models
- Develop demand forecasting solutions
- Develop predictive and prescriptive analytics
- Document model methodologies
- Educate stakeholders on responsible AI use
- Ensure model robustness fairness explainability
- Maintain model performance
- Monitor model drift and retrain
- Perform exploratory data analysis
- Prototype generative AI and NLP solutions
- Translate AI capabilities into product features
- Validate statistical models
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon SageMaker | Anomaly Detection | Azure ML | Classification | Clustering | Dashboarding | Data Analysis | Data Drift | Data Pipelines | Data drift monitoring | Drift monitoring | Explainability | Exploratory Data Analysis | Fairness | Feature Engineering | Generative AI | Google Vertex | Google Vertex AI | Kubeflow | Language Processing | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | Pandas | Predictive Analytics | Prescriptive Analytics | PyTorch | Python | Regression | Retraining | SQL | Scikit-learn | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting | Vertex AI
Education
N/A
Roles
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