Senior Data Scientist, Student Success

Texas A&M University System; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Texas A&M University System Offices seeks a Senior Data Scientist, Student Success to advance analytics across the System. You will develop measures, conduct advanced analyses, and translate findings for leadership across member institutions.

You will lead the Student Success Intelligence Platform, collaborate with institutional research, and deliver data-driven insights to inform planning, resource allocation, and policy decisions.

Qualifications

• Bachelor's degree in data science, statistics, economics, or related field, or equivalent experience.
• Ten years of advanced quantitative analysis experience with student success analytics or related field.

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, transfer pathways, graduation and post-graduation outcomes.
• Develop comprehensive set of student success measures and dashboards.
• Coordinate system-level analyses and reporting for state/federal student-success reporting requirements.
• Collaborate with institutional research and student success professionals across the System.

Skills

Data storytelling

Strategic thinking

Leadership

Cross-functional collaboration

Education

Bachelor's degree in related field

Doctorate or Master's preferred

Tools

SQL

Python

R

Power BI

Tableau

Job description

Job Title

Senior Data Scientist, Student Success

Agency

Texas A\u00c3\u00b6M 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\u00c3\u00b6M 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\u00c3\u00b6M – Fort Worth and the Texas A\u00c3\u00b6M - RELLIS Campus. The Texas A\u00c3\u00b6M 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\u00c3\u00b6M 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\u00c3\u00b6M System leadership and member institutions better understand student pathways, outcomes, and factors associated with student success across The Texas A\u00c3\u00b6M 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\u00c3\u00b6M System.


• Other duties as assigned.

Education and Experience

• Bachelor\u00c3\u00b4s 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.


• 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\u00c3\u00b4s 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 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 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\u00c3\u00b6M 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.