Furman University's Enrollment Management department needs to harness data, influence, and model admissions decisions, financial aid, enrollment, and student success to solve enrollment challenges.
Requirements
- Master’s degree in data science, math, statistics, computer science, or a related quantitative field.
- Minimum 2 years of experience in a data science role.
- Strong programming skills in data analysis languages.
- The ability to construct large SQL databases and query them.
- Expertise in building useful and complex data visualizations.
- Extensive experience in and strong passion for empirical research and answering hard questions with data.
- Data science experience in the education sector.
Responsibilities
- Design and conduct complex data analysis using student application data, demographic information, financial aid data, student success data, and other relevant sources.
- Develop and implement sophisticated predictive models to inform recruitment, selection, yield, and financial aid strategies.
- Use data reporting tools available through third parties such as the National Student Clearinghouse and data sharing consortiums to analyze trends and inform strategies throughout the enrollment cycle.
- Create useful data visualizations and reports to effectively communicate complex findings to both highly technical and non-technical audiences.
- Partner with Admissions, Financial Aid, and Marketing teams to translate data insights into actionable strategies.
- Acquire a deep understanding of relevant aspects of undergraduate admissions at Furman.
- Drive the collection of new data resources and refinement of existing resources.
Other
- Reporting to the Vice President for Enrollment Management, the Data Scientist is a member of the Enrollment Management senior leadership team.
- Understand admission and financial aid strategies for undergraduate students.
- Maintain a strong working relationship with Institutional Technology.
- Develop relationships with key stakeholders across campus, become familiar with data relating to admissions priorities, and stay abreast with national context (including current events, court cases, and academic research.
- Previous experience working in higher education admissions or related field with organizational processes preferred.
