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# Assistant Vice President, Health Analytics Data Scientist

- **Company:** Aon Plc
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000 - $190,000
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Microsoft Azure, Health Informatics, Continuous Integration, Generalized Linear Model, Python (Programming Language), Performance Tuning, Standard Sql, Feature Engineering, Apache Spark, Model Validation, Performance Monitor, Active Optical Networks, Machine Learning Operations, Software Coding, Software Version Control, Docker, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/assistant-vice-president-health-analytics-data-scientist-dallas-tx--ddbc739c-0f3b-47f7-b94e-62279ae2084b

## About the Role

Data Science, Health Science, Industry Standards, Analysis Skills, ICD-10, Actuarial Skills, Biostatistics, Weighting, Economics, Writing Skills, foundation in applied statistics or medical economics, including model training and validation, statistical testing, regression and generalized linear models, and experimental and quasi-experimental design Deep hands-on experience building, tuning, and interpreting tabular predictive models, including feature engineering, cross-validation, hyperparameter optimization, calibration, class imbalance, and explainability methods Hands-on experience applying causal inference to observational health data / medical economics, including matched cohort target trial emulation, propensity score methods, difference-in-differences (including staggered-adoption and event-study approaches), sensitivity analysis, and risk adjustment, with financial, utilization, and clinical outcomes metrics Detailed understanding of US health data, including eligibility, medical and pharmacy claims, and coding standards such as ICD-10-CM, ICD-10-PCS, CPT, DRG, and related industry standards Experience with MLOps
and model governance - such as MLflow or similar tooling, model registries, automated training and scoring pipelines, version control, drift and performance monitoring, and model risk documentation and review Experience partnering with enterprise technology and architecture teams and working with offshore or distributed engineering teams to deploy and support models in production Expert Python and/or R and strong SQL; Databricks, Spark, Azure, Docker, and CI/CD experience a plus High-performing individual contributor who can mentor junior data scientists and work independently across multiple projects Excellent written and verbal communication, with a track record of documenting methods and assumptions clearly and presenting statistical results, uncertainty, and limitations to actuaries, consultants, clients, and non-technical audiences Education, Bachelor's or master's degree in statistics, biostatistics, mathematics, economics, health services / public health research

## Description

end-to-end, including experiment tracking, model registries, reproducible training pipelines, automated testing, CI/CD, drift and performance monitoring, and model documentation, validation, and approval workflows aligned with Aon's risk, privacy, and compliance standards Serve as senior technical, code, and methodology reviewer for analytics deliverables, and set standards for model validation, explainability, bias and fairness review, and quality control Partner with senior leaders across Aon's health actuarial, consulting, clinical, innovation, and specialty practice areas, and stay current on emerging vendors and startups in healthcare navigation, digital health, and care delivery Mentor and coach data scientists, and lead multiple projects with clear priorities, timelines, and milestones Skills and experience that will lead to success Minimum 7 years of total experience, including health insurance, with a, track record of delivering value to clients and colleagues Strong