2711 Geospatial Analyst jobs in Sterling,VA

GEOINT Analyst

ManTech

Springfield, VA 22150

aqua IT

Herndon, VA 20170

ManTech International

Springfield, VA 22150

Chenega MIOS

Vienna, VA 22184

Tailored Access, LLC

Fairfax, VA 22030

SAIC

Chantilly, VA 20152

Vantor

Herndon, VA 20170

Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
This position requires an active U.S. Government Security Clearance at the **TS/SCI** level.
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).
B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)
Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.
Experience with modern development practices, including version control, and CI/CD
Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
Competence with Linux environments

INCATech

Burke, VA 22009

Xcellent Technology Solutions

Burke, VA 22009

Leidos

Fairfax, VA 22030

TS/SCI required
Strong geospatial experience, including hands-on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
5 – 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
3–5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
Prior experience in customer footprint supporting analytic production.
Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real-world problems.
Experience working with geospatial data in data science or analytic workflows.
Knowledge and experience using version control tools such as Git.
Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
Knowledge and experience using APIs.
Knowledge and experience using applied statistics and building algorithms.
Ability to present technical findings clearly to non-technical stakeholders.
Willingness to provide sample code portfolios (e.g., GitHub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
Requires a BA degree and 4 – 8+ years of prior relevant experience or Masters with 2 – 6+ years of prior relevant experience.