What You'll Be Owning:
We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.
What You Must Have:
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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)
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Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.
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Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.
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Experience in data mining, database manipulation, and maintaining structured analytic datasets.
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Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.
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Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)
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Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.
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Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis.
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Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.
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Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.
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Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.
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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.
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Conduct multi-INT research to augment imagery analysis and provide mission-specific context.
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Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.
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Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.
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Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.
What Would Be Nice to Have:
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Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.
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Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.
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Experience supporting DoD and IC report production, briefings, and formal analytic publications.
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Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.
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Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.
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Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.
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Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies.
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Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.
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Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.
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Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.
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An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
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An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
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An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning