Principal Geospatial Data Scientist

*Schedule: Must be available to work East Coast hours We are seeking a Principal Geospatial Data Scientist to lead the development of advanced geospatial analytics, data science, and AI solutions within a large enterprise environment. This is a hands-on technical leadership role requiring deep experience with the Esri/ArcGIS ecosystem, Python, AI/ML, and modern data platforms such as Databricks. The successful candidate will design and build production-grade geospatial applications and data products while providing technical direction and mentorship across complex initiatives. Responsibilities Lead the design and development of advanced geospatial analytics, data science, AI, and machine learning solutions. Build scalable GIS applications, spatial data products, geoprocessing tools, APIs, and automated workflows. Develop advanced spatial models and analytics using large, complex datasets. Integrate Esri solutions with Databricks, cloud platforms, enterprise data systems, APIs, and BI environments. Apply AI/ML and generative AI technologies to geospatial analysis, automation, forecasting, and business decision-making. Design scalable spatial data pipelines and enterprise GIS integrations. Establish technical standards, reusable components, and development best practices. Lead complex projects from requirements and architecture through development, deployment, and optimization. Partner with GIS professionals, data engineers, developers, and business stakeholders. Mentor data scientists and other technical professionals. Required Qualifications Advanced degree in Data Science, Computer Science, GIS/Geography, Statistics, Mathematics, Engineering, or a related technical field. 8+ years of relevant professional experience, including 5+ years of hands-on geospatial/GIS development or analytics experience. Deep practical experience with the Esri/ArcGIS ecosystem, including several of the following: ArcGIS Pro, Enterprise, and Online ArcPy and ArcGIS API for Python ArcGIS REST APIs and Maps SDKs Spatial databases and geospatial data management Custom geoprocessing tools and Python toolboxes Web mapping applications, dashboards, and automated spatial workflows Advanced Python development experience. Demonstrated experience with AI, machine learning, and/or generative AI. Experience with Databricks or comparable enterprise data platforms. Experience building scalable data pipelines, APIs, automation, and data integrations. Proven ability to build and support production-grade GIS/data solutions, rather than solely using GIS as an end user. Ability to independently lead complex technical initiatives and mentor other technical professionals. Strong communication skills with both technical and business audiences. Preferred Experience Combining GIS, data science, AI/ML, and cloud technologies in enterprise applications. Azure, AWS, or Google Cloud. SQL and large-scale data processing. Deployment of analytical or AI/ML solutions into production. Enterprise GIS architecture and application development. Integration of Esri technologies with Databricks, cloud platforms, data warehouses, and other enterprise systems. Ideal Background The strongest candidates will be hands-on technical builders, not simply GIS analysts or data scientists who have occasionally worked with spatial data. We are looking for demonstrated experience developing enterprise-grade geospatial solutions while applying modern data science, AI, and cloud/data-platform technologies.