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# Senior Geospatial Data Scientist

- **Company:** Vantor Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $205,700.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Amazon Web Services, ArcGIS (Software), Data Integrity, Data Visualization, Fat Client, Python (Programming Language), PostgreSQL, Linux System Administration, PostGIS, Systems Integration, Tableau (Software), Management of Software Versions, Scripting, Jupyter, Git, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=005bd9e72fbfc516

## About the Role

* Active U.S. Government Security Clearance at the TS/SCI level with required polygraph.
 * Bachelor's degree with 3+ years of relevant experience, or Master's degree with 1+ year of relevant experience
 * Strong experience using Python for geospatial data transformation, automation, and analysis
 * Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
 * Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
 * U.S. citizenship and Active TS/SCI with required polygraph
 * willingness to work on-site full time, * Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
 * Experience integrating and consuming data via REST APIs
 * Experience with R, Tableau, or similar analytical and visualization tools
 * Experience with Apache NiFi or comparable data workflow/orchestration tools
 * Familiarity with Git for versioning scripts and analytic artifacts

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

## Description

* Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
 * Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
 * Create maps, visualizations, and analytic products for technical and non-technical audiences
 * Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance


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