Senior Associate, Data Scientist, Data Surveillance, Clinical Data & Information Sciences
Tasks
- Analyze interpret and summarize model results
- Assess analyze data quality
- Build and test model quality framework
- Coordinate with data management teams to implement models and monitor outcomes
- Develop and test machine learning models
- Develop best practices to monitor model performance
- Evaluate model metrics
- Extract operational clinical data using SQL
- Operationalize and maintain models
- Optimize models and processes
- Prepare labeled data for machine learning
- Support training for business users on AI and data science
Perks/Benefits
Skills/Tech-stack
Classification | Data Quality | Data labeling | Linear Regression | Machine Learning | Microsoft SQL | Microsoft SQL Server | Model Evaluation | Model Monitoring | Model operationalization | Oracle | Python | R | Random Forest | Regression | SAS | SQL | SQL Server | Support Vector Machines | Vector machines
Roles
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