Data Scientist

Job Title:

Data Scientist

Location:

UNG-Dahlonega, GA

Regular/Temporary:
Regular

Full/Part Time:
Full-Time

Job

Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions in the University System of Georgia. UNG is focused on a mission of educational excellence, leadership development and community engagement opportunities that develop students into leaders for a diverse and global society.

Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus.

The University of North Georgia is accepting applications for a Data Scientist. The Data Scientist supports the University of North Georgia's strategic priorities by applying advanced statistical analysis, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success.

The Data Scientist collaborates across the university to solve complex analytical challenges while coordinating and mentoring Data Science interns participating in the Analytics & Innovation Incubator.

Please be advised that any offer of employment is contingent upon your eligibility to work in the United States. The university is aware of recent federal changes that may significantly increase the cost of filing H-1B visa petitions.

As a public institution, the university's ability to cover such costs is subject to budgetary constraints and state funding policies. Therefore, while we remain committed to supporting international faculty hires, we cannot guarantee payment of any newly imposed or increased visa-related fees.

If you have any questions regarding the visa policy, please contact Monica Arrendale at .

• Advanced Analytics & Predictive Modeling
  - Develops statistical, predictive, and machine learning models that support enrollment management, student success, retention, graduation, workforce planning, finance, institutional effectiveness, and other strategic initiatives
• Forecasting & Quantitative Research
  - Designs and conducts forecasting studies, scenario analyses, and quantitative research using advanced analytical techniques such as regression, classification, clustering, survival analysis, time-series forecasting, optimization, and related methodologies to support strategic planning and executive decision-making.
• Exploratory Data Analysis & Methodology
  - Conducts exploratory data analysis to identify patterns, trends, anomalies, and opportunities across institutional data while developing, validating, documenting, and refining analytical methodologies, model assumptions, and research findings to ensure transparency and reproducibility.
• Institutional Collaboration & Consulting
  - Collaborates with university leadership, functional offices, Institutional Research, Information Technology, faculty collaborators, and members of Strategic Impact & Engagement to identify analytical opportunities, translate business questions into quantitative solutions, and communicate findings through reports, presentations, and executive briefings.
• Analytics & Innovation Incubator Leadership
  - Coordinates and mentors undergraduate and graduate Data Science interns participating in the Analytics & Innovation Incubator by assigning projects, reviewing analytical work, providing technical guidance, and fostering professional development.
• Innovation & Continuous Improvement
  - Researches, evaluates, and applies statistical methodologies, machine learning approaches, and artificial intelligence capabilities to strengthen the university's analytical capacity while supporting the continued evolution of the UNG NEST.
• Professional Development & Other Duties
  - Maintains current knowledge of developments in data science, higher education analytics, and institutional research through professional development activities and performs other duties as assigned.

• Advanced knowledge of statistical analysis, predictive modeling, supervised and unsupervised machine learning, and quantitative research methodologies.
• Proficiency using analytical programming languages such as Python or R and familiarity with SQL for data analysis.
• Strong understanding of forecasting, regression, classification, clustering, optimization, survival analysis, and related analytical techniques.
• Strong analytical reasoning, critical thinking, documentation, and problem-solving skills.
• Ability to communicate complex analytical…