Geospatial Data Scientist / Research Data Analyst

U-Spatial at the University of Minnesota seeks a professional to design and implement a sustainable, graph-based data infrastructure connecting research and administrative datasets. Key responsibilities include developing Python-based ETL pipelines, managing graph databases like Neo4j, and creating visualization tools. The role emphasizes translating domain researchers' scientific questions into scalable data models. The position is split 70% development, 20% education, 10% professional growth. Required qualifications: advanced training in data science or GIS with demonstrated experience in graph databases, Python, SQL, and geospatial data pipelines. Preferred qualifications: ArcGIS Knowledge experience, PhD credentials. Salary: $87,000-$105,000 annually. Employment Type: Full-time, Regular (100% FTE). Work Flexibility: Hybrid eligible (on-site 1-3 days weekly depending on profile selected). Location: Twin Cities, MN (or Duluth campus option).