Senior Health Analytics Data Scientist (Remote Possible)

Aon; Denver (CO); Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

401(k) plan with employer contribution

Employee stock purchase plan

Medical, dental, and vision insurance

12 paid holidays per year

15 days paid vacation per year

Paid sick leave

Job summary

Aon seeks an Assistant Vice President, Health Analytics Data Scientist to lead cost-of-care measurement, causal inference, and predictive modeling across large health claims datasets. You’ll design, validate, document, and deliver algorithms, and move models into production in collaboration with ABS, data engineers, and actuaries.

The role requires 7+ years in health insurance or health benefits, strong stats and causal inference skills, and experience with MLOps, model governance, Python/R,

Qualifications

• 7+ years of total experience in health analytics or health economics.
• Strong foundation in applied statistics and causal inference.
• Experience building and deploying tabular predictive models on health data.
• Ability to document methods clearly for technical and non-technical audiences.
• Experience with MLOps and model governance; collaboration with distributed teams.

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for US Health Analytics.
• Collaborate with ABS, cloud architects, and offshore teams to align data pipelines and deployment.
• Design and tune tabular models using gradient boosting and other techniques on large datasets.
• Document methods, data definitions, and results; present findings to clients and senior leaders.
• Ensure end-to-end MLOps, model registries, testing, CI/CD, and monitoring practices.

Skills

Applied statistics

Causal inference

Predictive modeling

Python

R

SQL

Mentoring

Communication

Education

Bachelor's or master's degree in statistics / related quantitative field

Tools

Databricks

Spark

Azure

Docker

CI/CD

MLflow

Job description

Aon seeks an Assistant Vice President, Health Analytics Data Scientist to lead cost-of-care measurement, causal inference, and predictive modeling across large health claims datasets. You’ll design, validate, document, and deliver algorithms, and move models into production in collaboration with ABS, data engineers, and actuaries.

The role requires 7+ years in health insurance or health benefits, strong stats and causal inference skills, and experience with MLOps, model governance, Python/R,