Data Scientist (Hybrid)NewWashington D.C.

Geospatial Consulting Group International, LLC (geocgi); Washington (District of Columbia); Hybrid; USD 110,000 - 135,000; Full time

Benefits offered by this job

Competitive salaries

Mentorship and professional growth

Job summary

Geospatial Consulting Group International, LLC (geocgi) seeks a Data Scientist to support the U.S. Department of State—Bureau of Diplomatic Security.

The role designs, develops and applies advanced analytics, ML, and AI solutions to meet customer requirements in a hybrid setup with one day in-person weekly at the DOS facilities in Rosslyn, VA. The candidate will develop ML workflows, NLP, computer vision, and graph analytics, and build visualizations using ArcGIS, Power BI, Tableau, etc., to

Qualifications

• 5 years of experience with a Bachelor’s degree in Geography, GIS, Computer Science, Engineering, or related field; or 3 years with Master’s; or 2 years with 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 environments and tools such as Jupyter Lab, VS Code, GitLab and related platforms.
• Excellent written and verbal communication skills for diverse audiences.
• Attention to detail, analytical rigor and accuracy.

Responsibilities

• Design, develop, and deploy ML and data science workflows for structured and unstructured data.
• Perform content extraction and enrichment from diverse data sources (files, databases, APIs, enterprise systems).
• Apply NLP and computer vision for entity recognition, de-duplication, keyword extraction, classification, and similarity analysis.
• Design and implement graph-based data models and analytics; integrate with GIS platforms.
• Leverage cloud-native AI services (Azure) or equivalent platforms.
• Perform big data processing, including ingestion, transformation, feature engineering, and model evaluation at scale.
• Develop data visualizations and analytical products using Esri ArcGIS, Power BI, Tableau.
• Write clean, maintainable code in Python, R, SQL; follow modern development practices.
• Collaborate with GIS analysts and stakeholders to integrate analytics into workflows.
• Produce technical docs, analytical reports and briefings for varied audiences.

Skills

Data analytics

Machine learning

NLP

Computer vision

Graph analytics

Python

R

SQL

Team collaboration

Education

Bachelor’s degree in Geography, GIS, Computer Science, Engineering, or related field

Master’s degree

PhD

Tools

Jupyter Lab

VS Code

GitLab

ArcGIS

Power BI

Tableau

Azure AI services

Azure Foundry

Kubernetes

Job description

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.

Benefits

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.
• 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 integrating analytics into enterprise systems, including secure or classified environments.
• Experience with ArcGIS, Power BI, Tableau, or similar visualization platforms beyond basic reporting.

The annual base salary range for this position is anticipated to be $110,000-$135,000 USD. The listed salary range represents our good faith estimate for this position. Please note that the salary information is a general guideline only.

Geocgi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.