The DarkStar Group, LLC · 1 day ago
Senior GEOINT/Data Science Analyst
St. Louis, MO
Full-time
Onsite
Senior Level
7+ years expThe DarkStar Group is seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The role focuses on leveraging advanced data science capabilities and analytic expertise to enhance national security objectives through GEOINT and multi-INT environments.
Cloud ComputingCyber SecurityBig DataSoftwareAnalytics
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Support mission-critical intelligence operations
Innovate and modernize analytical tradecraft
Drive the integration of advanced methodologies into customer mission sets
Implement advanced analytic methodologies to increase customer satisfaction and mission effectiveness
Work with integrated teams to apply documented analytic methodologies to answer complex intelligence questions
Conduct data mining, database manipulation, and maintain structured analytic datasets
Use analytic tools to modernize workflows and enhance analytic rigor
Apply machine learning or statistical modeling techniques to mission datasets
Evaluate model performance, conduct error analysis, and communicate model results to technical and non-technical audiences
Operationalize analytic models into repeatable pipelines supporting intelligence production at scale
Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence
Conduct multi-INT research to augment imagery analysis and provide mission-specific context
Lead technical and analytical teams in solving complex intelligence problems
Develop new geospatial tradecraft, methods, and technologies from an operations research perspective
Qualification
Required
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
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, SciPy, scikit-learn, tidyverse)
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
Preferred
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
Company
The DarkStar Group, LLC
The DarkStar Group’s mission is to make a positive impact on National Security by supplying top Computer Scientists and Engineers on the most critical programs in the Intelligence Community and the Department of Defense.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase