Furman University-posted 3 months ago
Full-time • Mid Level
Greenville, SC
Educational Services

The Data Scientist for Enrollment Management at Furman University is a key member of the Enrollment Management senior leadership team, reporting directly to the Vice President for Enrollment Management. This role is crucial in understanding admission and financial aid strategies for undergraduate students, utilizing data to influence and model decisions related to admissions, financial aid, enrollment, and student success. The Data Scientist will be responsible for gathering, interpreting, monitoring, and analyzing data policies, procedures, and outcomes, employing software engineering, statistics, and machine learning to automate processes and develop solutions to enrollment challenges.

  • 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.
  • Maintain a strong working relationship with Institutional Technology.
  • Acquire a deep understanding of relevant aspects of undergraduate admissions at Furman and develop relationships with key stakeholders across campus.
  • Stay up to date on the latest trends and techniques in data science and enrollment management.
  • Maintain data security and integrity and ensure compliance with all FERPA regulations.
  • Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions.
  • Drive the collection of new data resources and refinement of existing resources.
  • Set the research agenda for the department, working with the senior management team to ensure an ongoing commitment to understanding and evaluating our work.
  • Collaborate with various research teams including Institutional Research Office.
  • Contribute positively to other duties and projects as assigned.
  • 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.
  • Previous experience working in higher education admissions or related field with organizational processes preferred.
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