Data Science Analyst II — Predictive Analytics & ML

The University of Texas at Austin; United States; On-site; USD 72,000 - 88,000; Full time

Job summary

The University of Texas at Austin is seeking a Data Science Analyst II to partner with clinical, operational, and administrative leaders to build advanced analytics, predictive models, and decision-support solutions that improve patient care and organizational performance. You will work directly with healthcare data to extract, clean, and prepare reliable datasets for reporting and advanced analytics.

You’ll develop automated pipelines, dashboards, and actionable insights, translating complex

Qualifications

• Master's degree in Data Science, Statistics, Computer Science, Engineering, Health Informatics, or a related field; 3+ years in data science, predictive analytics, ML, or healthcare analytics.
• Experience applying data science to healthcare, clinical, or business problems.
• Strong SQL, data modeling, and Python programming; cloud platform experience (Azure, AWS, Google Cloud).

Responsibilities

• Partner with clinicians, operational leaders, researchers, and administrative stakeholders to identify analytical opportunities.
• Design, validate, and deploy predictive and machine learning models for clinical and operational initiatives.
• Build and maintain automated ETL pipelines and reproducible analytical workflows.
• Create dashboards and reporting tools to support decision-making; automate recurring reports.
• Lead small-to-medium analytics projects from planning to implementation; mentor junior analysts.

Skills

Communication

Collaboration

Business acumen

Education

Master's degree

Doctorate (Preferred)

Tools

Python

SQL

Azure Cloud

AWS Cloud

Google Cloud

Job description

The University of Texas at Austin is seeking a Data Science Analyst II to partner with clinical, operational, and administrative leaders to build advanced analytics, predictive models, and decision-support solutions that improve patient care and organizational performance. You will work directly with healthcare data to extract, clean, and prepare reliable datasets for reporting and advanced analytics.

You’ll develop automated pipelines, dashboards, and actionable insights, translating complex