Data Scientist

Senior Data Scientist – Geospatial 📍 Juno Beach, FL (100% Onsite) Our client is seeking a Senior Data Scientist – Geospatial to serve as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role combines deep expertise in data science, GIS technologies, and enterprise-scale application development to drive business insights and operational excellence. Key Responsibilities Lead the design and development of advanced geospatial analytics and modeling solutions. Develop scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities. Architect enterprise geospatial solutions and establish development standards and best practices. Design and oversee spatial data pipelines, APIs, automation workflows, and cloud-based integrations. Collaborate with GIS teams, data scientists, engineers, and business stakeholders to translate geospatial data into actionable insights. Mentor and provide technical guidance to junior and mid-level data scientists. Integrate GIS capabilities with enterprise data platforms, cloud environments, and AI services. Develop production-grade analytical tools and applications that deliver measurable business impact. Required Qualifications Master's degree or higher in Data Science, GIS, Geography, Computer Science, Statistics, Engineering, or a related field. 6+ years of experience in Data Science. 4+ years of recent experience applying Data Science within GIS or Geospatial Analytics environments. Strong expertise in Python and spatial analytics. Experience building scalable analytical solutions and enterprise-level applications. Proven experience designing and deploying production-grade data science solutions. Experience with cloud platforms and enterprise data ecosystems. Preferred Qualifications Extensive experience with Esri technologies: ArcGIS Pro ArcGIS Enterprise ArcGIS Online ArcPy ArcGIS API for Python ArcGIS REST APIs ArcGIS Maps SDKs Experience developing: Custom geoprocessing tools Python toolboxes Web-based mapping applications Dashboards and widgets GIS extensions Automated spatial analysis workflows Experience integrating GIS platforms with AI and machine learning solutions.