Senior Data Scientist

Swift•Doral, FL

3h•Onsite

About The Position

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a skilled Senior Data Scientist to support mission-critical intelligence operations. In this role, you will apply advanced data science, analytics, and intelligence tradecraft to complex GEOINT and multi-INT mission sets. You will work alongside integrated intelligence teams to modernize analytic workflows, develop repeatable analytic pipelines, and operationalize advanced methodologies that directly support national security objectives. The ideal candidate brings deep analytic expertise, strong technical leadership, and proven experience supporting Intelligence Community customers in operational environments. This position is in Doral, FL.

Requirements

Active TS/SCI clearance with the ability to obtain a CI Poly
10+ years of relevant experience (a combination of experience, certifications, and training may be considered)
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

Nice To Haves

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

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