Data Scientist
Indexed description
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.
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