Data Scientist — Higher-Ed Analytics & Insights

The University of North Georgia; Dahlonega (GA); On-site; USD 85,000 - 110,000; Full time

Job summary

The University of North Georgia in Dahlonega, GA is seeking a Data Scientist to apply advanced statistical analysis, predictive modeling, and machine learning to trusted enterprise data. Working within the UNG NEST, you will develop analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success.

The role involves collaborating across university offices, mentoring Data Science interns in the Analytics

Qualifications

• Master's degree in a quantitative field required; PhD preferred.
• 2+ years applying statistical analysis, predictive modeling, and machine learning in higher education, government, healthcare, or similar environment.
• Experience developing analytical models using large, complex datasets with Python or R and SQL.

Responsibilities

• Develops statistical, predictive, and machine learning models to support enrollment management, student success, and institutional effectiveness.
• Designs forecasting studies and quantitative research to inform strategic planning and executive decisions.
• Conducts exploratory data analysis and documents methodologies, assumptions, and findings for transparency and reproducibility.

Skills

Statistical analysis

Predictive modeling

Machine learning

Python

R

SQL

Education

Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, Industrial Engineering, Operations Research, Analytics, or closely related quantitative discipline

Preferred: Doctoral degree in related quantitative discipline

Tools

Power BI

Microsoft SQL Server

Job description

The University of North Georgia in Dahlonega, GA is seeking a Data Scientist to apply advanced statistical analysis, predictive modeling, and machine learning to trusted enterprise data. Working within the UNG NEST, you will develop analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success.

The role involves collaborating across university offices, mentoring Data Science interns in the Analytics