About this role
Role summary / purpose The Senior Data Scientist – Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors less experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands on experience with spatial analytics at scale. Key responsibilities • Lead the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs • Establish technical standards and development frameworks • Guide the architecture of enterprise geospatial solutions • Develop and oversee spatial data pipelines, APIs, and automation workflows • Integrate GIS capabilities with cloud platforms, enterprise data systems, and AI services Requirements – education & experience • Advanced degree • At least 2-4 years of experience in data science • Data science experience in GIS during the last 4 years preferred • Extensive experience developing production-grade analytical tools and applications • Strong track record of delivering enterprise-level business impact Nice-to-have / preferred skills • Significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs • Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows
Posted by Bartech Staffing on behalf of a vetted America's largest clean energy company client. Your recruiter confirms the exact rate when you connect.