Note: The job is a remote job and is open to candidates in USA. Alderson Loop is seeking Geospatial Data Scientists to support a large enterprise organization in the energy and utilities industry. The role focuses on analyzing spatial data and building GIS tools, applications, automated workflows, and geospatial products using the Esri/ArcGIS ecosystem. Senior-level candidates will independently own technical initiatives and help lead the design and delivery of geospatial solutions.
Responsibilities
- Analyze complex spatial datasets and develop scalable geospatial solutions that support enterprise business and operational needs
- Design and build GIS tools, applications, web maps, geoprocessing services, and automated spatial workflows using the Esri/ArcGIS platform
- Develop Python-based geospatial solutions using tools such as ArcPy and ArcGIS API for Python
- Work with ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, and Experience Builder to develop user-facing geospatial products
- Design and improve geodatabases, spatial data models, and spatial ETL processes
- Build automated QA/QC and data-integrity processes for spatial datasets
- Develop and integrate ArcGIS REST APIs and other APIs into applications and workflows
- Translate backend spatial analysis and data science work into practical tools and applications for GIS analysts and internal customers
- Support remote sensing, imagery analysis, and machine learning/GeoAI initiatives, including feature extraction from imagery
- Collaborate with GIS professionals, data scientists, engineers, and business stakeholders to understand requirements and deliver usable solutions
- Explore emerging capabilities involving Databricks, AI-assisted coding, machine learning, and GeoAI
Skills
- • Professional experience in GIS, Geospatial Analytics, Data Science, GIS Development, or a related technical discipline
- • Strong hands-on experience with spatial/geospatial data and the Esri ArcGIS ecosystem
- • Experience with ArcGIS Enterprise, ArcGIS Online, and/or ArcGIS Pro
- • Strong Python development skills, ideally including ArcPy and/or ArcGIS API for Python
- • Experience building geoprocessing tools, GIS applications, automated workflows, or other spatial data products
- • Understanding of geodatabase design, spatial data architecture, and spatial ETL
- • Experience developing or consuming APIs, preferably ArcGIS REST APIs
- • Ability to work directly with data and build technical solutions rather than solely performing GIS administration or mapping
- • Strong analytical, problem-solving, communication, and collaboration skills
- • Databricks experience
- • JavaScript and web GIS development
- • Esri Experience Builder experience
- • Machine Learning, GeoAI, or AI-assisted development experience
- • Remote sensing, imagery analysis, or automated feature extraction experience
- • Experience developing dashboards, widgets, or custom geoprocessing tools
- • Energy, utilities, infrastructure, or another asset-intensive industry background
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