Principal Data Scientist
Austin, TX, United States
USD 139K-304K (estimate) Senior-level Full Time
Tasks
- Adjudicate AI efficacy for go no go
- Apply NIST AI risk management framework
- Apply survival analysis mixed effects models and Bayesian methods
- Assess AI risk including bias and explainability
- Build risk stratification models
- Collaborate on Azure and Snowflake analytics environment
- Create model documentation for transparency and auditability
- Create readmission risk models and utilization forecasting
- Develop predictive models and forecasting solutions
- Ensure HIPAA-compliant data handling
- Ensure data quality governance and ethics
- Evaluate AI tools for enterprise adoption
- Lead Advanced Analytics projects
- Lead data science team
- Manage data science standards and best practices
- Mentor data analysts via code reviews and reusable frameworks
- Mitigate bias in data and models
- Monitor model drift and performance
- Perform time series forecasting
- Provide AI governance and risk advisory
- Review advanced analytics produced by data analysts
- Translate analytical findings for technical and non technical audiences
- Validate models for accuracy reliability fairness and clinical relevance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Bayesian Methods | Bias detection | Data Lineage | Data Quality | Ensemble Methods | Epic | FHIR | Fairness assessment | Feature Engineering | Forecasting | HIPAA | Language Processing | MLOps | Machine Learning | Mixed-effects | Mixed-effects models | Model Documentation | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Predictive Modeling | Python | Reproducible Research | Risk Stratification | Series analysis | Snowflake | Statistical modeling | Survival analysis | Time Series | Time Series Analysis | Version control
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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