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Work Location: Washington D.C. Metro - Hybrid Reporting Hours: Eastern Business Hours Clearance: Department of Defens...

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Selected role

Data Scientist - Mid Level (Washington D.C.)

Geospatial Consulting Group International Alexandria, VA, US

$110k - $135k Senior Full-time

Work Location: Washington D.C. Metro - Hybrid

Reporting Hours: Eastern Business Hours

Clearance: Department of Defense Secret (T3)

Travel: Not required

At geocgi we pride ourselves on not losing our focus. We started out and remain GIS experts (or geeks. . . depending on your perspective). Since 2006, we’ve evolved into a world-class and world-wide service provider of multiple disciplines. We are a talented, hardworking group that share values and characteristics that drive client, professional, and personal success. 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 role, primarily home-based with expectation of one in-person day per week 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.
Complete Medical, Dental, and Vision coverage for individuals.
Company paid training, certifications, and professional growth and development.

The following are requirements of the*Data Scientist:*

U.S. Citizen and Active U.S. Passport.
6 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.
Active DoD Secret Clearance.
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 considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.

Please visit our website and careers page at: www.geocgi.com to apply. 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.

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