Senior Data Scientist
Tasks
- Apply statistical modeling and machine learning
- Build and maintain analytical datasets and features
- Contribute to data science best practices and frameworks
- Design, develop, and validate predictive models
- Evaluate model performance and communicate insights
- Partner with utilization management and clinical teams
- Research and scale analytical approaches
- Translate complex business problems into analytical solutions
Perks/Benefits
- 401k retirement savings
- Dental insurance
- Health insurance
- Hybrid work option
- Life insurance
- Long-term disability
- Occasional travel
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
- Work from home
Skills/Tech-stack
Causal Inference | Causal Machine Learning | Clinical data | Data Validation | Deep learning | EMR data | Healthcare Claims | Laboratory data | Language Processing | Machine Learning | Machine learning deployment | Model Performance Evaluation | Model performance | Natural Language | Natural Language Processing | Performance Evaluation | Pharmacy data | Predictive Modeling | Production Machine Learning | Production Machine Learning Deployment | PySpark | Python | R | SAS | Spark | Statistical modeling
Education
Roles
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