Data Scientist; Hybrid
Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listed on 2026-10-18
Washington, District of Columbia, 20022, USA
Listing for:
Geospatial Consulting Group International (geocgi)
Full Time, Remote/Work from Home
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description
Job Description
Contract:Department of State
Work Location:
Rosslyn, Virginia Reporting
Hours:
Hours:
Eastern Business Hours,
(In office one day a week)
Clearance:
Secret Travel:
Travel:Not required
Geocgi is looking for a
Data Scientist
to support our client, United States Department of State - Bureau of Diplomatic Security. The candidate will design, develop, and apply advanced data analytics, machine learning, and artificial intelligence solutions to support customer requirements.
This position is a hybrid opportunity, primarily home-based, with one day a week in-person requirement at United States Department of State facilities in Rosslyn, Virginia, USA.
Key Responsibilities:- Design, develop, and deploy machine learning and data science workflows, including supervised and unsupervised models, to extract insights from structured and unstructured data.
- Perform content extraction and enrichment from diverse data sources and formats, including files, databases, APIs, and enterprise systems.
- Apply natural language processing (NLP) and computer vision techniques for tasks such as entity recognition, entity de-duplication, keyword extraction, document classification, and similarity analysis.
- Design and implement graph-based data models and analytics, supporting relationship discovery, entity resolution, and network analysis; integrate with GIS platforms where applicable.
- Leverage cloud-native AI and analytics services, with emphasis on Microsoft Azure, including Azure AI services and Azure Foundry, or equivalent platforms.
- Perform big data processing and analytics, including data ingestion, transformation, feature engineering, and model evaluation at scale.
- Develop data visualizations and analytical products using tools such as Esri ArcGIS, Power BI, Tableau, or equivalent platforms to communicate findings to technical and non-technical audiences.
- Write clean, maintainable, and well-documented code in Python, R, SQL, or related languages, using modern development practices.
- Collaborate with GIS analysts and mission stakeholders to integrate analytics into operational workflows.
- Produce clear technical documentation, analytical reports, and briefings; present findings effectively to stakeholders with varying technical backgrounds.
As an employee of geo cgi, the Data Scientist will have access to a generous benefits package, in addition to a corporate culture and community of GIS geeks.
Our benefits include but are not limited to:
- Competitive salaries, commensurate with experience and leading Federal Contractors in the geospatial industry.
- Opportunities for upward mobility in a dynamic fast paced environment within a small company.
- Merit-based spot and end of year bonuses.
- Safe Harbor 401(k) plan with immediate vesting.
- Flexible work hours and PTO.
- Enjoy 100% company-paid medical, dental, and vision premiums for individual employees. Coverage extensions for spouses and child dependents are available for purchase through the company plan.
- Company paid training, certifications, and professional growth and development.
The following are requirements of the Data Scientist:
- U.S. Citizen with active DoD Secret Clearance.
- Onsite one day a week in Rosslyn, Virginia.
- 5 years of experience with a Bachelor's degree in Geography, GIS, Computer Science, Engineering, or related field; or 3 years of experience with a Master's degree; or 2 years of experience with a PhD.
- Demonstrated professional experience with machine learning and data science techniques, including model development, evaluation, and deployment.
- Proven experience with big data processing and analytics.
- Experience with graph databases and graph analytics for relationship modeling and entity resolution.
- Strong programming and scripting skills in Python, R, and SQL.
- Experience building and running containerized applications and APIs, including deployment to Kubernetes clusters.
- Proficiency with data science and analytics environments and tools such as Jupyter Lab, VS Code, Git Lab, and related platforms.
- Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to non-technical audiences.
- Demonstrated attention to detail, analytical rigor, and accuracy.
The following are preferred of the Data Scientist:
- Familiarity with ArcGIS, GIS data, or spatial analytics, including integration of geospatial data into analytical workflows.
- Experience with Azure AI services, Azure Foundry, or equivalent cloud-native AI platforms.
- Experience…
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