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Это чётко описанная senior-роль в крупной университетской системе с содержательными задачами и хорошим соцпакетом, но зарплата не указана, а ограничение по гражданству сужает круг доступных вакансий.
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Ограничение по статусуЗарплата не указанаАктуальные инструментыПонятные задачиХороший соцпакет
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Student Success (Student Success Analytics): Analyzing systemwide student pathways, outcomes, and success measures across admissions, enrollment, retention, transfer, completion, and post-graduation outcomes with an accent on advanced quantitative analysis, enterprise analytics, and decision-support reporting. Focus on building performance measures and analytical products, integrating complex datasets, and translating findings into recommendations for executive leadership and institutional partners.
Location: College Station, Texas; position eligible for remote work. Restricted to U.S. citizens and legal permanent residents.
Company
Texas A&M University System Offices support a network of universities, a health science center, state agencies, and campuses through education, research, technology commercialization, training, and public services.
What you will do
Administer the adoption and development of the Student Success Intelligence Platform.
Analyze student success across admissions, enrollment, retention, persistence, re-enrollment, transfer, graduation, credential completion, and post-graduation outcomes.
Coordinate system-level analyses and reporting for selected state and federal student-success requirements.
Translate complex analytical findings into actionable recommendations for leadership and decision-makers.
Collaborate with institutional research and student success professionals across the A&M System.
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 findings into strategic recommendations.
Experience in student success analytics, institutional research, higher education data analysis, program evaluation, or a related field.
Proficiency with analytical, statistical, and data visualization tools such as SQL, Python, R, Power BI, Tableau, or comparable technologies.
Ability to manage and analyze large, complex datasets while ensuring data quality, integrity, and appropriate use.
U.S. citizenship or legal permanent residency is required.
Nice to have
Doctorate or master’s degree in a quantitative field such as data science, statistics, economics, public policy, computer science, mathematics, or operations research.
Seven years of experience in student success analytics, institutional research, higher education data analysis, program evaluation, or a related field.
Experience presenting advanced analytics and recommendations to executive leadership, governing boards, policymakers, or other senior decision-makers.
Culture & Benefits
Full-time staff position with eligibility for remote work.
Competitive health benefits, paid vacation, sick leave, and holidays.
Defined benefit retirement plan through the Teachers Retirement System of Texas, with additional retirement options where applicable.
Tuition assistance and wellness programs supporting work-life balance.
Employment is contingent on credential verification and completion of a criminal history investigation.
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