# Data Scientist (Hybrid) at Geospatial Consulting Group International

> Hybrid · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Ageocgi%3A4397547009 (read 2026-11-06).

## Facts (observed)

- Company: [Geospatial Consulting Group International](https://alderhq.app/companies/geospatial-consulting-group-international)
- Location text: Rosslyn, VA; Rosslyn, Virginia
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Rosslyn, VA; Rosslyn, Virginia")
- Posted: 2026-09-08 (59 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/geocgi/jobs/4397547009
- Skills listed (inferred): Python, Azure, Kubernetes, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 293): p25 $105k, median $136k, p75 $188k

## Description (the employer's text)

Contract: Department of State

Work Location: Rosslyn, Virginia

Reporting Hours: Eastern Business Hours, (In office one day a week)

Clearance: Secret

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 geocgi, 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, GitLab, and related platforms.
- Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to non-technical audiences.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ageocgi%3A4397547009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.