Senior Data Scientist, Research

Texas A&M•College Station, TX
•Remote

About The Position

The Senior Data Scientist, Research provides advanced analysis and reporting to help Texas A&M University System leadership, research administrators, and member institutions understand research activity, strengths, opportunities, and outcomes across the 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. It supports enterprise analytics platforms and decision-support tools to identify research expertise, infrastructure, strengths, and opportunities for strategic initiatives and cross-member collaboration. The role also coordinates research data and reporting activities and collaborates with research administration and institutional research professionals across the System. This is a security-sensitive position restricted to U.S. citizens and legal permanent residents. Applicants are subject to a criminal history investigation, and employment is contingent on verification of credentials and other information required by the institution. Only complete applications will be considered; a cover letter and resume may be required.

Requirements

  • 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 of 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.
  • Extensive knowledge of research analytics, research administration data, research performance metrics, benchmarking methodologies, and quantitative analytical techniques.
  • Skill 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.
  • Ability to acquire, integrate, manage, and analyze large, 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 communicating complex analytical findings to executive leaders, boards, policymakers, and technical and non-technical audiences.
  • Ability to independently lead complex analytical initiatives, exercise sound professional judgment, and deliver reliable information and recommendations in situations with significant strategic, financial, operational, or policy implications.
  • Ability to multitask and work cooperatively with others.
  • Must be a U.S. citizen or legal permanent resident.
  • Applicants are subject to a criminal history investigation.

Nice To Haves

  • 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 of 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.

Responsibilities

  • Administer 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 strategic research initiatives and cross-member collaborations.
  • Report research activity and outcomes to the Board and executive leadership.
  • Coordinate research data submissions and reporting schedules.
  • Collaborate with vice presidents for research, research administration offices, and institutional research staff across the System.
  • Perform other duties as assigned.

Benefits

  • Competitive health benefits.
  • Paid vacation, sick leave, and holidays.
  • Defined benefit retirement plan with an employer contribution through Teachers Retirement System of Texas (TRS).
  • If applicable, a defined contribution retirement plan with an employer contribution through an approved ORP vendor.
  • Additional voluntary tax-deferred annuity options.
  • Tuition assistance.
  • Wellness programs to promote work/life balance.
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