Assistant Data Scientist

Texas A&M University System

College Station (TX)

On-site

USD 80,000 - 100,000

Full time

2 days ago
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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

Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges.

We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

Job Description
Purpose

The Assistant Data Scientist will develop, train, and evaluate machine learning models for hazard assessment, infrastructure vulnerability analysis, and community resilience metrics.

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.
What we need
  • Bachelor’s degree or equivalent combination of education and experience.
  • Two years of related experience.
Work Location
  • Main Campus – College Station, TX.
About Civil Engineering

The mission of the Zachry Department of Civil and Environmental Engineering at Texas A&M University is to prepare our graduates to become professional engineers and leaders in the engineering profession by providing our students with a solid education that will enable them to integrate fundamental scientific engineering principles and that will couple with the latest technological advances to facilitate the development of their problem-solving skills. Additionally, the department provides opportunities for educational enhancement through meaningful interactions with the profession. In summary, we expect our graduates to be fully prepared for life-long learning experiences that will strengthen their abilities to successfully and effectively solve the complex engineering problems facing society.

Texas A&M Engineering provides an outstanding benefits package including but not limited to:
  • Access to Engineer Your Wellness programs that provide opportunities for employees to engage in health and fitness.
  • Wellness release time offered to employees to promote work/life balance.
Compensation Philosophy
  • Recruit and retain high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
  • Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
  • Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.
Employment Eligibility Verification
  • If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present original and unexpired documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment.Failure to do so will result in delay of start date.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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