Data Scientist

Job Title:

Data Scientist

Location:

Miami, FL

Eligibility:
Candidate must possess an active TS/SCI clearance

Job Description:

We are looking for experienced Data Scientists with Python expertise and a GEOINT background to support mission-critical intelligence operations. In this role, you will apply advanced analytics and data science to real-world national security problems, working across GEOINT, multi-INT, and enterprise analytic environments. You will help modernize analytic workflows, introduce new methodologies, and turn complex data into actionable insights for mission teams and decision-makers.

• Perform advanced analytics within GEOINT and multi-INT environments
• Develop, refine, and implement modern analytic methodologies to improve mission outcomes and customer satisfaction
• Mine, manipulate, and maintain structured analytic datasets, ensuring quality and usability at scale
• Perform data preprocessing and feature engineering for both structured and unstructured data
• Create Python scripts that strengthen tradecraft through reproducible workflows, transparency, and lifecycle management best practices
• Apply machine learning and statistical techniques such as regression, clustering, classification, and time-series analysis to mission datasets
• Evaluate model performance, conduct error analysis, and clearly communicate results to technical and non-technical audiences
• Operationalize models into repeatable, reliable pipelines that support intelligence production
• Support GEOINT analysis using imagery, spatio-temporal data, and multi-source intelligence to uncover patterns, relationships, and mission-relevant events
• Conduct multi-INT research to enrich imagery analysis with context and supporting intelligence
• Identify capability gaps and propose enhancements, emerging technologies, and business case opportunities that improve mission delivery
• Contribute to the development of new geospatial methods and tools from an operations research perspective

• Active TS/SCI clearance with eligibility for CI Polygraph
• 10+ years of related experience (can be met through a combination of experience, education, and certifications/training. All of it will be considered.)
• Background supporting Intelligence Community operations
• MUST have proficiency in Python and/or R, including common scientific libraries (Num Py, Pandas, etc.)
• Past experience working with both structured and unstructured data
• Understanding of modern data science best practices, including governance, reproducibility, transparency, and model lifecycle management
• Demonstrated experience in database development, maintenance, and data mining
• Proven capability in identifying opportunities for system enhancements and new analytic capabilities
• Strong GEOINT and multi-INT tradecraft capabilities, including imagery and spatio-temporal analysis
• Hands‑on experience applying machine learning or statistical modeling techniques to mission datasets
• Ability to build and maintain pipelines that move models from development into operational production

• Familiarity with building and maintaining GEOINT, SIGINT, or OSINT datasets
• Prior experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.
• Proficiency with commercial off‑the‑shelf (COTS) statistical tools such as Map Large, Tableau, MATLAB, JEMA or Brewlytics for data visualization and complex statistical analysis
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
• Knowledge of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
• Understanding of coca cultivation and production areas
• Familiarity with ICD 203 (Analytic Standards) and ICD 206
• Experience extracting, modeling, and visualizing multi-INT datasets for descriptive and predictive analysis
• Background in applying deep learning or computer vision methods to GEOINT or multi-INT datasets
• CNNs, segmentation, object detection
• Experience building analytic dashboards or applications, including API‑driven ingestion, ETL pipelines, and microservice‑based architectures
• Ability to shape analytic outputs so they directly support operational planning and decision‑making
• Familiarity with Structured Observation Management tools and/or Object‑Based Production methodologies
• Strong communication skills with the ability to clearly explain technical details in an accessible way; ability to create and deliver demos, briefings, and/or training for both technical and non‑technical audiences
• Experience supporting DoD/IC analytic production, including formal reports, briefings, and publications