Data Scientist

• 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.

• 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.

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.