Assistant Data Scientist – Hazard & Infrastructure ML

Texas A&M Engineering Experiment Station; College Station (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

Texas A&M Engineering Experiment Station in College Station, TX is seeking an Assistant Data Scientist to develop, train, and evaluate machine learning models for hazard assessment and community resilience metrics. The role involves building data pipelines from multi-source datasets and collaborating with researchers to translate prototypes into production-ready tools.

The ideal candidate will have a Bachelor’s degree or equivalent with 2 years of related experience.

Qualifications

• Bachelor’s degree or equivalent combination of education and 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 combination of education and experience

Job description

Texas A&M Engineering Experiment Station in College Station, TX is seeking an Assistant Data Scientist to develop, train, and evaluate machine learning models for hazard assessment and community resilience metrics. The role involves building data pipelines from multi-source datasets and collaborating with researchers to translate prototypes into production-ready tools.

The ideal candidate will have a Bachelor’s degree or equivalent with 2 years of related experience.