Senior Data Scientist at Swift

Doral, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Data Mining, Python, R, Analytic Methodologies, GEOINT, Multi-INT, Feature Engineering, Exploratory Analysis, Model Governance, Collaboration, Technical Leadership, Data Visualization, Deep Learning

Industry

IT Services and IT Consulting

Description

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. 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 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 Desired Experience: 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 We are not working with outside staffing agencies to fill this position. We are not accepting unsolicited resumes.

Responsibilities

The Senior Data Scientist will apply advanced analytic methodologies to answer complex intelligence questions and develop analytic pipelines. They will collaborate with intelligence teams to operationalize models that support national security objectives.