Senior Data Scientist, Research

Agency

Department

The System Offices is one of several system members within the Texas A&M University System representing one of the largest systems of higher education in the nation, with a network of 12 universities, a comprehensive health science center, eight state agencies, Texas A&M – Fort Worth and the Texas A&M - RELLIS Campus. The Texas A&M University System mission is to provide education, conduct research, commercialize technology, offer training, and deliver services for the people of Texas and beyond.

The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and holidays; a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS); if applicable, a defined contribution retirement plan to include an employer contribution through an approved ORP vendor: additional voluntary tax deferred annuity (TDA) options; tuition assistance; and wellness programs to promote work/life balance.

Salary:

Commensurate with experience.

Position is eligible for remote work.

Job Description Summary:

The Senior Data Scientist, Research provides advanced analysis and reporting to help A&M System leadership, research administrators, and member institutions understand research activity, strengths, opportunities, and outcomes across The Texas A&M University System. The position develops research measures and indicators; conducts System-wide performance, benchmarking, and comparative analyses; and analyzes research expenditures, proposals, awards, publications, commercialization, collaboration, and other outcomes. The position supports the development and use of enterprise analytics platforms and decision-support tools to identify research expertise, infrastructure, strengths, and opportunities for strategic initiatives and cross-member collaboration. The position also coordinates research data and reporting activities and collaborates with research administration and institutional research professionals across the System.

Responsibilities:

- Administrate the adoption and development of the Research Intelligence Platform.

- Develop and document research measures and indicators.

- Conduct System-wide research performance, benchmarking and comparison studies.

- Analyze research expenditures, proposal activity, awards, publications, commercialization, and other research outcomes.

- Identify research strengths, expertise, infrastructure, and collaboration opportunities across System members.

- Support opportunities for strategic research initiatives and cross-member collaborations.

- Report to the Board and executive leadership on research activity and outcomes.

- Coordinate research data submissions and reporting schedules.

- Collaborate with vice presidents for research, research administration offices, and institutional research staff across the System.

- Other duties as assigned.

Education and Experience:

- Bachelor's degree in data science, statistics, economics, higher education administration, public policy, computer science, information systems, mathematics, operations research, social sciences, or a related field, or an equivalent combination of education and experience.

- Ten years experience conducting advanced quantitative analysis, developing performance metrics, and translating analytical findings into strategic recommendations, with specific experience in research analytics, institutional research, research administration, data science, program evaluation, or a related analytical field.

Knowledge, Skills, and Abilities:

- Extensive knowledge of research analytics, research administration data, research performance metrics, benchmarking methodologies, and quantitative analytical techniques.

- Skill in translating complex data into actionable recommendations for executive leadership, governing boards, policymakers, or other senior decision-makers.

- Proficiency with analytical, statistical, and data visualization tools such as SQL, Python, R, Power BI, Tableau, or comparable technologies used for advanced analysis, reporting, and decision support.

- Ability to acquire, integrate, manage, and analyze large and complex datasets from multiple sources while ensuring data quality, integrity, and appropriate use.

- Ability to develop performance measures, dashboards, scorecards, benchmarking studies, predictive analyses, and other analytical products that support organizational planning and decision-making.

- Strong verbal, written, presentation, and data storytelling skills, including the ability to communicate complex analytical findings to executive leaders, boards, policymakers, and both technical and non-technical audiences.

- Ability to independently lead complex analytical initiatives, exercise sound professional judgment, and deliver reliable information and recommendations in situations involving significant strategic, financial, operational, or policy implications.

- Ability to multi-task and work cooperatively with others.

Preferred Qualifications:

- Doctorate or master's degree in data science, statistics, economics, higher education administration, public policy, operations research, computer science, mathematics, or a related quantitative field.

- Seven years experience in research analytics, institutional research, research administration, data science, program evaluation, or a related analytical field.

- Demonstrated experience conducting advanced analytics and translating complex data into actionable recommendations for executive leadership, governing boards, policymakers, or other senior decision-makers is preferred.

Other Requirements:

This is a security-sensitive position and is restricted to U.S. citizens and legal permanent residents only. Only complete applications will be considered for employment at The Texas A&M System Offices. Incomplete job application data could result in your application being rejected without an option to reapply. A cover letter and resume may be required in addition to a completed employment application.

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.