Geospatial Data Scientist

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

Requirements

• 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

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
• Familiarity with Git for versioning scripts and analytic artifacts

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

Pay

The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.