Submit your cover letter and resume at this website:
If you have any questions, please contact the Office of Enrollment Management.
The Data Scientist will assist Office of Enrollment Management (OEM) leadership in making strategic, data-informed enrollment management decisions by interpreting and transforming institutional data into actionable information. Statistical analysis, predictive modeling, machine learning, data cleaning and organization, and data visualization skills are essential. This new position will also analyze, interpret, and verify research results to assist in the development of policy recommendations in collaboration with partner units, including institutional research and student affairs.
Example projects may include:
- Enrollment forecasting based on financial aid package scenarios
- Student success predictive models
- Residency forecasting using population and migration models
- Gather, analyze and interpret data from various sources that will suggest conclusions and support decision-making and forecasting across OEM.
- Identify new predictive modeling, machine learning, and advanced analytics methodologies based on the available data sets and implement dynamic models/algorithms focused on student-centered outcomes.
- Lead the design, development, testing, and validation of multiple modeling design concepts to include but not limited to statistical, mathematical, and simulation models.
- Write, test, and implement programs to clean, merge, and analyze large, complex datasets related to enrollment and student success.
- Recommend and carry out specific research projects to assist OEM in decision making, utilizing data in the university data warehouses and other data sources.
- Analyze complex data sets using research methods, quantitative and qualitative analyses, and statistical techniques to provide critical information to administrators.
- Create user-friendly data visualizations that are effective in increasing awareness of student trends, progress toward OEM goals, and research findings.
- Apply the best available techniques to the task of drawing inferences from data.
- Manage data: inspect, clean, and transform data. Run database queries and provide datasets to OEM team members and partners.
- Summarizing, interpreting, and presenting results in written, tabular and visual formats that reflect OEM’s student-centered goals.
- Maintain large data sets: merge files, restructure and recode variables, assign labels and values, check for errors, create codebooks, etc.
- Remain current on trends that affect higher education, particularly those related to demographic, socioeconomic, and geographic student enrollment and success.
- Develop and maintain relationships with organizations internal and external to the university that are conducting education research and evaluation related to access, affordability, transition to college, persistence, and degree attainment.
- Develop, streamline, error-proof, and automate processes for managing data and producing reports.
- A bachelor’s in data science, statistics, informatics, econometrics, or other science or social science field directly related to this position.
- Minimum of one-year relevant experience in statistical data analysis, modeling, programming, and simulation.
- Experience with Python, SQL, and constructing SQL queries.
- Working knowledge of, and experience with various statistical analysis techniques, such as analyses of variance, factor analysis, reliability analysis, natural language processing, statistical process control, linear and hierarchical modeling, etc.
- Experience with complex data structures and linkages between data sources.
- Strong verbal and written communication skills. Proven ability to explain analyses to non-data experts and administrators. Mastery of writing clear and concise documentation, summaries of methodologies, and descriptions of statistical results.
- Excellent interpersonal skills and experience working with diverse populations.
- Adaptable; proven ability to be open to and accepting of new ideas.
- Experience explaining data visualizations and statistical descriptors to audiences who are both unfamiliar and extremely familiar with statistics and data science.
- Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
- A master’s degree in a related field.
- Three years of relevant experience.
- Prior experience with Tableau visualization software.
- Prior experience in higher education or a student-centered organization.
- Experience with enrollment management data and analyses inclusive of topic areas such as financial aid, admissions, student orientation and transition programs, and student success.
- Experience with statistical, linguistic, and structural techniques to extract and classify information from qualitative data.
- Knowledge of and experience with enrollment modeling in an educational setting.
- Strong familiarity with the University’s data structure, student datasets, and related educational datasets, such as IPEDS and the National Student Clearinghouse.
For additional information about the University of Michigan, please see our website:
Why Work At Michigan
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
- Generous time off
- A retirement plan that provides two-for-one matching contributions with immediate vesting
- Many choices for comprehensive health insurance
- Life insurance
- Long-term disability coverage
- Flexible spending accounts for healthcare and dependent care expenses
Diversity, Equity and Inclusion
OEM is committed to pursuing deliberate efforts to ensure that our campus is a place where differences are welcomed, different perspectives are respectfully heard and where every individual feels a sense of belonging and inclusion. We know that by building a critical mass of diverse groups on campus including staff, students and creating a vibrant climate of inclusiveness, we can more effectively leverage the resources of diversity to advance our collective capabilities.
For more information about OEM including our diversity, equity and inclusion strategic plan visit the Enrollment Management website.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.