Note: The job is a remote job and is open to candidates in USA. Crescent Solutions is seeking a Principal Geospatial Data Scientist to lead advanced geospatial analytics, data science, and AI solutions within a large enterprise environment. The role involves designing and building production-grade geospatial applications and data products using Esri/ArcGIS, Python, AI/ML, Databricks, and modern data platforms while providing technical leadership and mentorship.
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
Skills
- • 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
- •Schedule: Must be available to work East Coast hours
- • 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
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