Senior Data Scientist, Student Success

** Job Title
** Senior Data Scientist, Student Success
** Agency
* * Texas A&M University System Offices
** Department
* * Chief Strategy Officer
** Proposed Minimum Salary
** Commensurate
* * Job Location
** College Station, Texas
** Job Type
** Staff
* * Job Description
** 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 eligible for remote work.
*** Job Description

Summary:

** The Senior Data Scientist, Student Success provides advanced analysis and reporting to help A&M System leadership and member institutions better understand student pathways, outcomes, and factors associated with student success across The Texas A&M University System. The position develops and maintains student success measures and conducts analyses related to admissions, enrollment, retention, persistence, re-enrollment, transfer pathways, degree completion, and post-graduation outcomes.

The position supports the development and use of enterprise analytics platforms and decision-support tools to provide consistent, system-wide information that informs planning, resource allocation, and student success initiatives. The position will analyze systemwide student progression and outcomes, develop performance measures, conduct advanced quantitative analyses, and translate complex findings into actionable recommendations for leadership. The position also coordinates reporting activities and collaborates with institutional research and student success professionals across the System to improve understanding of student achievement and educational outcomes.

** Responsibilities:**- Administrate the adoption and development of the Student Success Intelligence Platform.

- Conduct analyses across the student success lifecycle:
* Admissions funnel
* Enrollment* Retention and persistence
* Re-enrollment and stop-out students
* Transfer pathways
* Graduation and credential completion
* Workforce and post-graduation outcome studies
- Develop 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.

- 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 student success analytics, institutional research, higher education data analysis, program evaluation, or a related field.  
** Knowledge, Skills, and Abilities:**- 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 used for advanced analysis, reporting, and decision support.

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