Data Scientist
Tasks
- Assess accuracy bias fairness and explainability
- Design AI ML solution approaches
- Document model evaluation results and recommendations
- Evaluate AI ML models for performance and feasibility
- Monitor AI ML trends tools and federal policy
- Support AI governance frameworks and policies
- Translate healthcare operational problems into AI ML roadmaps
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Bias Assessment | Claims data | Computer Vision | Data Governance | Data integration | EHR data | Explainability | Fairness | HL7 FHIR | ICD-10 | Machine Learning | Model Evaluation | Model Risk Management | Model risk | NLP | Predictive Analytics | PyTorch | Python | Responsible AI | Risk Management | Scikit-learn | TensorFlow
Education
N/A
Roles
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