Geospatial Data Scientist

TL;DR

Geospatial Data Scientist (Python/AWS): Build data-driven geospatial solutions by automating geospatial data ingestion, transformation, and analysis with an accent on extracting mission-relevant patterns and creating maps, visualizations, and analytic products. Focus on maintaining repeatable, high-quality data workflows and delivering insights for both technical and non-technical audiences.

Location: McLean, VA (on-site full time). U.S. Citizen required and active U.S. Government Security Clearance at TS/SCI level with required polygraph.

Salary: $113,000.00 - $188,000.00 annually (Washington, DC metropolitan area).

Company

hirify.global builds spatial intelligence solutions to help decision makers and operators understand what’s happening now and what’s next.

What you will do

• Automate geospatial data ingestion, transformation, and analysis using Python scripting and AWS services.
• 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 repeatable data workflows with strong data integrity, documentation, and performance.
• Gather project requirements from the customer and implement data-driven solutions.

Requirements

• U.S. citizenship and active TS/SCI U.S. Government security clearance with required polygraph.
• Bachelor’s degree with 3+ years of relevant experience, or Master’s degree with 1+ year of relevant experience.
• Strong Python experience 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.
• Willingness to work on-site full time in McLean, VA.

Nice to have

• Experience using 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.

Culture & Benefits

• Competitive total rewards package including a 401(k) with company match.
• Mental health resources and student loan repayment assistance.
• Adoption reimbursement and pet insurance.
• On-site role supporting customer-site delivery in McLean, VA.

Hiring process

• Application review within the application window (three days from the job posting date) until a qualified candidate is identified.
• Candidate evaluation based on job-related factors including experience, qualifications, and clearance status.