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# Sophomore Data Scientist

- **Company:** Kforce Inc.
- **Location:** Juno Beach, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Business Analytics Applications, ArcGIS (Software), GIS Applications, Python (Programming Language), Spatial Data Infrastructures, Systems Integration, Web Applications, Enterprise Data Management, Esri GIS (Software), AI Platforms, Data Analytics, Restful APIs
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/0200bbde-90e8-4462-ae65-3a1140a06851

## About the Role

* Advanced degree, with at least 2-4 years of experience in data science and a preference for data science in GIS during the last 4 years
 * Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact
 * Preferred qualifications include 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 is highly valued

## Description

Kforce has a client in Juno Beach, FL that is seeking a Sophomore Data Scientist., The Sophomore 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., * Leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs

 * Establishing technical standards and development frameworks
 * Guiding the architecture of enterprise geospatial solutions
 * Developing and overseeing spatial data pipelines, APIs, and automation workflows
 * Integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services


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