What Impact You'll Have:
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 Bachelor’s degree in mathematics, science, or a related technical field; or 7+ years of relevant experience in lieu of a degree.
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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, SciPy, scikit-learn, tidyverse).
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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. 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.
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Experience building analytic dashboards or applications using frameworks.
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Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.