Crystal Equation
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Spatial Data Scientist / Geospatial Analyst
Remote
Summary:
We are seeking a skilled Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tooling and analysis functions using ArcGIS Enterprise and other geospatial platforms. This role will support our Infra Competitive Insights team by providing ongoing and ad hoc geospatial analyses, leveraging data center locations, energy infrastructure, parcel data, and other relevant datasets to drive business insights.
This role bridges data science, spatial analytics, and GIS application development—helping decision-makers understand geographic patterns, optimize infrastructure, and forecast spatial change.
Responsibilities:
Ideal Candidate:
Education & Experience:
Preferred Qualifications:
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Pay range is $71 - $76 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Â Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. Â We will serve to empower you along the way and provide the path for your professional journey.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
Spatial Data Scientist / Geospatial Analyst
123 VA Remote, VA 20301 US
Posted: 10/20/2025
2025-10-20
2025-12-11
Job Number: 41426
Job Description
Spatial Data Scientist / Geospatial Analyst
Remote
Summary:
We are seeking a skilled Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tooling and analysis functions using ArcGIS Enterprise and other geospatial platforms. This role will support our Infra Competitive Insights team by providing ongoing and ad hoc geospatial analyses, leveraging data center locations, energy infrastructure, parcel data, and other relevant datasets to drive business insights.
This role bridges data science, spatial analytics, and GIS application development—helping decision-makers understand geographic patterns, optimize infrastructure, and forecast spatial change.
Responsibilities:
- Perform advanced geospatial analyses including spatial statistics, network modeling, proximity analysis, and raster processing.
- Develop predictive and spatial-statistical models (e.g., site suitability, spatial clustering, accessibility modeling, network optimization, spatial regression).
- Perform multi-scale spatial analysis using raster and vector datasets, including proximity modeling.
- Lead geospatial data analysis and modeling using ArcGIS Enterprise, ArcGIS Pro, Excel, SQL databases, and other geospatial tools.
- Utilize ArcGIS Pro toolkits (Spatial Analyst, 3D Analyst, Network Analyst, Geostatistical Analyst) for advanced spatial analysis.
- Design compelling data visualizations that communicate spatial patterns, uncertainty, and model outputs to both technical and non-technical audiences.
- Collaborate with cross-functional teams to produce geospatial analyses, maps, and derivative reports for business stakeholders.
- Apply advanced statistical and geospatial analysis techniques to diverse datasets.
- Establish, document, and continuously improve business processes related to geospatial data management and analysis.
- Manage recurring reporting processes, ensuring timely and accurate updates.
- Communicate technical findings and recommendations clearly to senior audiences, both verbally and in writing.
Ideal Candidate:
- Demonstrates strong problem-solving skills and a structured, logical approach to complex issues.
- Proficient in communicating technical concepts and research findings to both technical and non-technical audiences.
- Experienced in working independently, managing processes and timelines, and seeking feedback as needed.
- Skilled at managing multiple complex priorities efficiently and with strong attention to detail.
- Creative and proactive in approaching complex research questions and data analyses.
- Experienced in building and maintaining standardized processes, databases, dashboards, and analytical tools.
- Demonstrates strong cross-functional partnership and collaboration skills.
Education & Experience:
- Bachelor’s degree in Geography, Data Science, Mathematics, Business Management, Economics, Finance, Human Resources, or a relevant field required.
- 8+ years of experience in geospatial analytics, data science, or a related field.
- Proficiency in ArcGIS Enterprise, ArcGIS Pro, and geospatial data analysis tools.
- Experience with SQL databases, Excel, and dashboard/reporting tools.
- Familiarity with geospatial programming libraries (e.g., Python, R) and data formats (Shapefiles, GeoJSON, CSV).
Preferred Qualifications:
- Master’s degree in a relevant field.
- Experience with remote sensing, LiDAR, or image analysis.
- Experience with cloud-based analytics platforms and geospatial data storage.
- Prior experience supporting infrastructure, energy, or data center projects.
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Pay range is $71 - $76 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Â Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. Â We will serve to empower you along the way and provide the path for your professional journey.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.