Data Scientist
Kutztown University invites applications for a Data Scientist in the Department of Institutional Research. In this role, you will play a lead part in transforming complex institutional data into actionable insights that drive university strategic decision-making.You will collaborate closely with academic and campus leaders, applying advanced data modeling, statistical analysis, and machine learning techniques to support planning, policy development, and compliance reporting. A hybrid remote/in-office schedule is available following an initial fully on-campus period.
Responsibilities:
- Implement advanced statistical models and machine learning algorithms to analyze large, complex data sets
- Design and conduct experiments to test hypotheses and validate predictive models
- Transform raw data into actionable insights supporting university strategic decision-making
- Collaborate with academic and campus leaders to identify data needs and deliver data-driven recommendations
- Create data visualization dashboards to communicate findings clearly across the campus community
- Build and maintain curated data sets and self-service reporting tools for institutional data access
- Generate internal and external reports on institutional data and outcomes
- Monitor campus accountability and assessment measures, including state-determined performance metrics
- Support identification of institutional issues and analysis of trends to inform planning and policy
- Ensure accurate, timely data for required federal and state compliance reports
- Maintain a campus presence to support ongoing partnerships with university leadership
Required Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- 1-3 years of experience in data science, machine learning, or a related field
- Proficiency in programming languages such as Python, R, or SQL
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Strong understanding of statistical analysis, data mining, and machine learning techniques
- Excellent critical thinking skills and attention to detail
- Ability to communicate complex technical concepts clearly to non-technical audiences
- Strong organizational and project management skills
Preferred Qualifications:
- Experience working in higher education, preferably at a 4-year university
- Familiarity with educational data systems and student information systems (Banner)
- Knowledge of data governance and data privacy regulations
- Advanced statistical analysis capabilities
- Demonstrated ability to work effectively with a diverse and multicultural student body, faculty, staff, and community
Posted: 08-Apr-26
Location: Kutztown
Categories: Staff/Administrative
Internal Number: 5297852
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