Senior Data Scientist

About This Role

This Senior Data Scientist will support mission-critical intelligence operations by applying advanced data science, analytics, and intelligence tradecraft to complex GEOINT and multi-INT mission sets. The role involves modernizing analytic workflows, developing repeatable analytic pipelines, and operationalizing advanced methodologies to support national security objectives.

Responsibilities

• Apply advanced analytic methodologies to answer complex intelligence questions across GEOINT and multi-INT domains
• Develop, maintain, and manage structured and unstructured analytic datasets supporting intelligence production
• Design and implement machine learning and statistical models (e.g., regression, clustering, classification, time-series analysis) to support mission requirements
• Perform data preprocessing, feature engineering, and exploratory analysis to prepare datasets for advanced analytics
• Evaluate model performance, conduct error analysis, and communicate analytic results to both technical and non-technical stakeholders
• Operationalize analytic models into scalable, repeatable workflows and production pipelines
• Support GEOINT analysis using imagery, geospatial, and spatio-temporal datasets to identify trends, relationships, and mission-relevant events
• Conduct multi-INT research to augment imagery analysis and provide operational context
• Collaborate with cross-functional intelligence and engineering teams in support of enterprise-level analytic environments
• Identify capability gaps, system enhancements, and emerging technologies that improve mission delivery
• Provide technical and analytic leadership to teams solving complex intelligence problems

Requirements

• Active TS/SCI clearance with the ability to obtain a CI Poly
• Demonstrated Intelligence Community experience supporting national security missions
• Expertise in advanced analytic methodologies and documented analytic tradecraft
• Experience in data mining, database manipulation, and maintaining analytic datasets
• Proficiency with Python and/or R and scientific computing libraries (e.g., NumPy, Pandas)
• Experience applying machine learning or statistical modeling techniques to mission datasets
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management
• Proven ability to communicate analytic findings clearly and effectively to diverse audiences
• Experience working in collaborative, mission-focused team environments

Qualifications

• 10+ years of relevant experience (a combination of experience, certifications, and training may be considered)

Nice to Have

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission needs
• Experience supporting DoD and Intelligence Community reporting, briefings, and formal analytic products
• Proficiency with analytic and visualization tools such as Tableau, MATLAB, JEMA, MapLarge, Brewlytics, or similar
• Familiarity with FADE tools including MIST, INTELBOOK, LINX, and WATCH BOX
• Experience extracting, modeling, and visualizing multi-INT datasets for descriptive and predictive analysis
• Knowledge of Structured Observation Management tools and Object-Based Production methodologies
• Experience applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT data
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures
• Experience developing analytic dashboards or mission applications
• Familiarity with ICD 203 (Analytic Standards) and ICD 206
• Understanding of Transnational Criminal Organizations (TCOs), USSOUTHCOM AOR, and coca cultivation and production areas
• Ability to shape and frame analytic outputs to directly support operational planning and decision-making

Skills

* Required skills

Benefits