Senior Data Scientist, Student Success

Texas A&M•College Station, TX
•Remote

About The Position

The Senior Data Scientist, Student Success provides advanced analysis and reporting to help Texas A&M University System leadership and member institutions understand student pathways, outcomes, and factors associated with student success. The position develops and maintains student-success measures and analyzes admissions, enrollment, retention, persistence, re-enrollment, transfer pathways, degree completion, and post-graduation outcomes. It also supports enterprise analytics platforms and decision-support tools that deliver consistent system-wide information for planning, resource allocation, and student-success initiatives. The role analyzes systemwide student progression and outcomes, develops performance measures, conducts advanced quantitative analyses, and translates complex findings into actionable recommendations for leadership. It coordinates reporting activities and collaborates with institutional research and student-success professionals across the System to improve understanding of student achievement and educational outcomes. The position is eligible for remote work and is security-sensitive; it is restricted to U.S. citizens and legal permanent residents.

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 student-success analytics, institutional research, higher-education data analysis, program evaluation, or a related field.
  • Extensive knowledge of student-success analytics, enrollment management, postsecondary education data, institutional research 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.
  • 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 supporting organizational planning and decision-making.
  • Strong verbal, written, presentation, and data-storytelling skills, including the ability to communicate complex 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 on matters 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; employment is contingent upon verification of credentials and other information required by institutional procedures.

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 student-success analytics, institutional research, higher-education data analysis, program evaluation, or a related 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 Student Success Intelligence Platform.
  • Conduct analyses across the student-success lifecycle, including admissions, enrollment, retention and persistence, re-enrollment and stop-out students, transfer pathways, graduation and credential completion, and workforce and post-graduation outcomes.
  • Develop a comprehensive set of student-success measures.
  • Coordinate System-level analyses and reporting in support of selected state and federal student-success reporting requirements.
  • Collaborate with institutional research and student-success professionals across the A&M System.
  • Perform other duties as assigned.

Benefits

  • Competitive health benefits
  • Paid vacation
  • Paid sick leave
  • Paid holidays
  • Defined-benefit retirement plan with an employer contribution through the Teachers Retirement System of Texas (TRS)
  • If applicable, 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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