Sr Analyst, Statistical Inference and Data Science (IKC)
USD 76K-104K Senior-level Full Time
Tasks
- Apply Bayesian inference
- Apply frequentist inference
- Build and interpret regression models
- Conduct feature engineering
- Conduct power analyses
- Create executive communications
- Define reporting and analytic requirements
- Design observational studies
- Develop predictive models
- Develop responsible AI best practices
- Evaluate machine learning modeling approaches
- Execute quasi-experimental methods
- Identify clinical demographic and cost trends
- Measure calibration discrimination fairness
- Monitor operations performance
- Perform sample size calculations
- Translate model outputs into decision support tools
- Validate and monitor predictive models
- Write analytic documentation
Perks/Benefits
- 401k match
- Backup child and elder care
- Backup elder care
- EAP counseling sessions
- Employee assistance program
- Family Resources
- Maternity & paternity leave
- Medical/Dental/Vision insurance
- Paid time off
- Professional development programs
Skills/Tech-stack
AUROC | Bayesian Inference | Brier Score | Calibration | Calibration Curve | Causal Inference | Claims data | Discrimination | Experimental Methods | Explainability | Fairness metrics | Feature Engineering | Frequentist inference | Git | Gradient boosting | Healthcare Claims | Healthcare Claims Data | Language Processing | Machine Learning | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Penalized regression | Power analysis | Predictive Modeling | Prompt engineering | Python | Quasi Experimental | Quasi-experimental methods | R | Regression Analysis | Reproducible Research | SQL | Sample Size | Sample Size Calculation | Statistics | Survival analysis | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Arts | Master of Science
Roles
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