Data Scientist — Hazard & Infrastructure ML

Texas A&M University System; College Station (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

Texas A&M University System is seeking an Assistant Data Scientist to develop, train, and evaluate machine learning models for hazard assessment and community resilience. The role involves building data pipelines for diverse datasets and collaborating with researchers to deploy production-ready tools.

The candidate should have a Bachelor’s degree or equivalent and at least two years of related experience, and will work on the Main Campus in College Station, TX.

Qualifications

• Bachelor’s degree or equivalent combination of education and experience.
• Two years of related experience.

Responsibilities

• Develop, train, and evaluate machine learning models for hazard assessment, infrastructure vulnerability analysis, and community resilience metrics.
• Build and maintain data pipelines for ingesting, processing, and integrating multi-source datasets (geospatial, sensor, social, and administrative data).
• Design feature engineering workflows and model evaluation frameworks to ensure robust, reproducible results.
• Collaborate with researchers and domain experts to translate prototype models into production-ready tools.
• Document methodologies, results, and technical processes to support knowledge transfer and publication efforts.
• Perform other duties as assigned.

Education

Bachelor’s degree or equivalent

Job description

Texas A&M University System is seeking an Assistant Data Scientist to develop, train, and evaluate machine learning models for hazard assessment and community resilience. The role involves building data pipelines for diverse datasets and collaborating with researchers to deploy production-ready tools.

The candidate should have a Bachelor’s degree or equivalent and at least two years of related experience, and will work on the Main Campus in College Station, TX.