Data Scientist-GEOINT

• Develop, implement, and maintain statistical, predictive, and machine learning models to analyze structured and unstructured datasets.
• Perform exploratory data analysis to identify trends, anomalies, patterns, and correlations.
• Design and automate data pipelines to support data ingestion, processing, and analysis.
• Evaluate and improve model performance through validation, testing, and optimization.
• Analyze geospatial, imagery, remote sensing, and location-based datasets to produce actionable intelligence.
• Integrate multiple intelligence sources, including other relevant datasets where applicable.
• Develop geospatial models and workflows to support situational awareness, target analysis, risk assessment, and operational planning.
• Create maps, geospatial visualizations, dashboards, and intelligence products for stakeholder consumption.
• Conduct spatial and temporal analysis to identify emerging trends and support decision-making.
• Build analytical tools and applications using programming languages such as Python, R, SQL, or similar technologies.
• Utilize geospatial platforms and tools to process, manage, and visualize spatial data.
• Ensure data quality, integrity, and compliance with organizational standards.
• Communicate findings through reports, briefings, visualizations, and presentations.
• Translate complex analytical results into clear, actionable recommendations.
• Support cross-functional teams in identifying new data-driven opportunities and solutions.

We are seeking a highly motivated Data Scientist with Geospatial Intelligence (GEOINT) experience to join our team. The successful candidate will leverage advanced analytics, machine learning, geospatial data science techniques, and intelligence methodologies to extract actionable insights from large and complex datasets. This role involves working with geospatial, imagery, sensor, and intelligence data to support mission-critical decision-making, operational planning, and strategic analysis.

The ideal candidate possesses a strong foundation in data science, geospatial analysis, and GEOINT principles, with the ability to transform data into meaningful intelligence products for technical and non-technical stakeholders.

Our candidate will demonstrate traits that align with PatchPlus’ guiding principles - Purpose, Proficiency and Character. PatchPlus’ purpose is to continue to make a difference to our nation’s security while providing persistent, meaningful employment to its owner-employees. Proficiency defines the PatchPlus ethos where we seek to hire and develop members who possess a high degree of competence, skill and expertise in their field of work. Character is the moral compass in each member that guides us to do the right things., * Clearance: Active TS/SCI security clearance.

• Bachelor’s degree in Data Science, Computer Science, Geography, Geographic Information Systems (GIS), Geospatial Sciences, Statistics, Mathematics, Engineering, Intelligence Studies, or related fields.
• 8+ years of professional experience in intelligence analysis, data science, analytics, geospatial analysis, or related discipline. (11+ years of experience in lieu of degree)
• Proficiency in Python, R, SQL, or other analytical programming languages.
• Experience with machine learning, statistical modeling, and predictive analytics techniques.
• Knowledge of GIS and geospatial analysis tools such as ArcGIS, QGIS, ENVI, or similar platforms.
• Experience working with geospatial databases and spatial data formats.
• Strong understanding of data visualization principles and tools.
• Ability to communicate complex technical findings to diverse audiences.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud., * Master’s degree in Data Science, GIS, Geospatial Intelligence, Computer Science, Statistics, or related fields.
• Experience with satellite imagery, remote sensing, image exploitation, or computer vision applications.
• Experience with big data technologies and distributed computing frameworks.
• Familiarity with Intelligence Community standards, methodologies, and workflows.
• Experience developing geospatial machine learning or artificial intelligence solutions.
• Knowledge of geospatial web services, APIs, and spatial databases such as PostGIS
• Additional technical skills developing data science applications using languages/libraries such as TensorFlow, Keras, PyTorch, pandas, NumPy, Matlab, Paradigm or DataRobot desired.
• Additional technical skills and/or research in areas like text or video processing, computer vision and/or graph analytics desired.