Machine Learning- Data Scientist
Tasks
- Apply clustering regression NLP predictive modeling
- Build AI ML enabled digital health solutions
- Collaborate with public health teams clinicians and leadership
- Conduct data audits validation and performance analyses
- Create machine learning models for behavioral health data analytics
- Leverage Python and R for data analysis
- Present findings and visualizations to stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CMS | CPT | Claims | Cloud analytics | Clustering | Confusion matrix | Cross-validation | Data Analysis | Data Preprocessing | Data Validation | Data Visualization | EHR | Encounter Data | Feature Engineering | GCP | HCPCS | HEDIS | Health Analytics | Healthcare Data | Healthcare Data Analysis | ICD-10 | LOINC | Language Processing | Machine Learning | Member Risk Segmentation | Model Validation | NCQA | Natural Language | Natural Language Processing | Population Health | Population health analytics | Power BI | Precision-recall | Predictive Modeling | PyTorch | Python | R | ROC-AUC | Regression | Risk Segmentation | SNOMED | SQL | Scikit-learn | Tableau | TensorFlow | XGBoost
Education
Roles
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