Data Scientist

Geospatial Consulting Group International, LLC (geocgi)

. Design, develop, and deploy machine learning and data science workflows, including supervised and unsupervised models, to extract insights from structured and unstructured data .

Posted 11/4/2026full-timeRosslyn • Virginia • United StatesJuniorMid-Level💰 $110,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, data science workflows, and big data analytics, with proficiency in Python, R, and SQL. Capable of integrating analytics into operational workflows and presenting findings to diverse stakeholders.

Highest-signal resume keywords

Machine Learning TechniquesBig Data ProcessingGraph DatabasesPython ProgrammingAzure AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceBig Data AnalyticsGraph AnalyticsNatural Language ProcessingComputer VisionData VisualizationContent ExtractionModel EvaluationFeature Engineering

Soft Skills

Excellent CommunicationAttention to DetailAnalytical Rigor

Tools & Technologies

Microsoft AzureAzure AI ServicesArcGISPower BITableauJupyter LabVS CodeGitLabKubernetesAPIs

Certifications & Qualifications

DoD Secret Clearance

Industry Keywords

GeographyGISSpatial AnalyticsEntity ResolutionRelationship Modeling

Tech Stack

Tools & technologies

AzureCloudKubernetesPythonSQLTableau

About the role

Key responsibilities & impact

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 entity recognition, entity de-duplication, keyword extraction, document classification, and similarity analysis
Design and implement graph-based data models and analytics for relationship discovery, entity resolution, and network analysis; integrate with GIS platforms where applicable
Leverage cloud-native AI and analytics services, emphasizing Microsoft Azure, 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 Esri ArcGIS, Power BI, Tableau, or equivalent platforms
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 technical documentation, analytical reports, and briefings; present findings to stakeholders with varying technical backgrounds

Requirements

What you’ll need

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
Demonstrated attention to detail, analytical rigor, and accuracy
Preferred: Familiarity with ArcGIS, GIS data, or spatial analytics, including integration of geospatial data into analytical workflows
Preferred: Experience with Azure AI services, Azure Foundry, or equivalent cloud-native AI platforms
Preferred: Experience integrating analytics into enterprise systems, including secure or classified environments
Preferred: Experience with ArcGIS, Power BI, Tableau, or similar visualization platforms beyond basic reporting

Benefits

Comp & perks

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
100% company-paid medical, dental, and vision premiums for individual employees
Coverage extensions for spouses and child dependents available for purchase through the company plan
Company paid training, certifications, and professional growth and development