Machine Learning Geospatial Jobs in Florida (NOW HIRING)

What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) * Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. * Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.

* Experience in data mining, database manipulation, and maintaining structured analytic datasets. * Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. * Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.

* Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis. * Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. * Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.

* Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. * GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events. * Conduct multi-INT research to augment imagery analysis and provide mission-specific context.

* Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems. * Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. * Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.

What Would Be Nice to Have: * Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. * Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. * Experience supporting DoD and IC report production, briefings, and formal analytic publications.

* Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. * Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights. * Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.

* Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies. * Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. * Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray.

Experience building analytic dashboards or applications using frameworks. * Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. * An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR * An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206 * An understanding of how to operationalize the analytic output-shape/frame it in a way that supports operational planning #LI-GM1