Geospatial Data Scientist

Job Responsibilities:

• Perform advanced geospatial analyses including spatial statistics, network modeling, proximity analysis, and raster processing.
• Develop predictive and spatial-statistical models (e.g., site suitability, spatial clustering, accessibility modeling, network optimization, spatial regression).
• Perform multi-scale spatial analysis using raster and vector datasets, including proximity modeling.
• Lead geospatial data analysis and modeling using ArcGIS Enterprise, ArcGIS Pro, Excel, SQL databases, and other geospatial tools.
• Utilize ArcGIS Pro toolkits (Spatial Analyst, 3D Analyst, Network Analyst, Geostatistical Analyst) for advanced spatial analysis.
• Design compelling data visualizations that communicate spatial patterns, uncertainty, and model outputs to both technical and non-technical audiences.
• Collaborate with cross-functional teams to produce geospatial analyses, maps, and derivative reports for business stakeholders.
• Apply advanced statistical and geospatial analysis techniques to diverse datasets.
• Establish, document, and continuously improve business processes related to geospatial data management and analysis.
• Manage recurring reporting processes, ensuring timely and accurate updates.
• Communicate technical findings and recommendations clearly to senior audiences, both verbally and in writing.

Skills:

• Minimum 8 years of experience as Data Scientist with 2+ years of experience in geospatial analytics, data science, or a related field.
• Should be able to conduct analysis – used Geospatial tools – scope and complete data analysis
• Coding – Python, SQL, Geo Pandas – some core analytics coding skillset required
• Experience with remote sensing, LiDAR, or image analysis.
• Experience with cloud-based analytics platforms and geospatial data storage.
• Prior experience supporting infrastructure, energy, or data center projects.

Education/Experience:

• (Minimum) Bachelors degree in Geography, Data Science, Mathematics, Business Management, Economics, Finance, Human Resources, or a relevant field required.
• (Preferred) Masters degree in a relevant field.