Principal Data Scientist
Austin, TX, United States
USD 139K-304K (estimate) Senior-level Full Time
Tasks
- Adjudicate AI solution efficacy
- Apply Bayesian methods
- Apply NIST AI risk management framework
- Apply ensemble methods
- Apply mixed effects models
- Apply natural language processing
- Apply survival analysis
- Build reusable analytical frameworks
- Build risk stratification models
- Build utilization forecasting models
- Conduct time series forecasting
- Develop disease progression models
- Develop predictive models
- Develop readmission risk models
- Document model cards and data lineage
- Ensure HIPAA compliant analytics
- Ensure data quality and governance
- Evaluate AI and machine learning tools
- Lead data science team
- Mitigate data and model bias
- Monitor model drift and performance
- Perform advanced analytics and statistical analysis
- Provide AI governance risk input
- Provide code reviews and mentorship
- Review advanced analytics deliverables
- Set data science standards
- Use ISO IEC 42001 for AI risk assessment
- Validate models for accuracy reliability fairness and clinical relevance
Perks/Benefits
Skills/Tech-stack
Bayesian analysis | Bias Mitigation | Data Governance | Data Lineage | Data Quality | Data Quality Management | Ensemble Methods | Explainability | Fairness testing | Forecasting | HIPAA | Language Processing | Machine Learning | Mixed-effects | Mixed-effects models | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Predictive Modeling | Quality management | Risk Stratification | Series analysis | Statistical modeling | Survival analysis | Time Series | Time Series Analysis | Version control
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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