Senior Geospatial Data Scientist

Vantor Inc.; McLean (VA); On-site; USD 140,000 - 206,000; Full time

Job summary

Vantor Inc. is seeking a Geospatial Data Scientist to join our team at a client site in McLean, VA. This role requires an active TS/SCI clearance with polygraph and U.S.

citizenship. The successful candidate will support gathering project requirements and implementing data-driven solutions. Responsibilities include using Python and AWS to automate geospatial workflows, creating maps and analytics for diverse audiences, and maintaining reproducible data pipelines with strong documentation and

Qualifications

• Active U.S. Government Security Clearance at TS/SCI with polygraph.
• Bachelor's degree with 3+ years of relevant experience, or Master's with 1+ year of relevant experience.
• Strong experience using Python for geospatial data transformation, automation, and analysis.
• Strong experience with geospatial data in thick-client GIS software (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.

Responsibilities

• Automate geospatial data ingestion, transformation, and analysis using Python and AWS.
• Apply geospatial data science techniques to identify patterns and mission-relevant insights.
• Create maps, visualizations, and analytic products for technical and non-technical audiences.
• Maintain high-quality, repeatable data workflows with documentation and data integrity.

Skills

Python scripting

Geospatial analysis

Automation

Data transformation

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field

Tools

ArcGIS

PostgreSQL/PostGIS

AWS

Linux

Jupyter notebooks

REST APIs

Git

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

Our team has an immediate need for an experienced Geospatial Data Scientist to join our team at a customer-site in McLean, VA. The candidate will support gathering project requirements from the customer and implementing data-driven solutions.

Responsibilities

• 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

Minimum Qualifications

• 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

Preferred Qualifications

• 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
• * The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually.

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.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.