The Data Scientist will work within the Provost’s Office to conduct projects to support data-informed decision-making. The Data Scientist will partner with key stakeholders to provide deliverables to address issues, including student success, enrollment trends, rankings, and program evaluations. The candidate must have experience conducting and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g. regression modeling, machine learning, data mining, clustering).
The candidate must have experience working within a team environment, be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The candidate must be proficient in query writing (e.g., SQL) and visualization software (e.g., Tableau). In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g. regression modeling, machine learning, data mining, clustering). Familiarity using workflow automation tools, like Alteryx, and/or experience in higher education is a plus. Master’s Degree in Statistics, Analytics, Data Science, Computer Science, Information Sciences, or related field is required.
