Data Scientist

Job Title: Data Scientist

Location: Miami, FL

Eligibility: Candidate must possess an active TS/SCI clearance

Job Description:

We are looking for experienced Data Scientists with Python expertise and
a GEOINT background to support mission-critical intelligence operations.
In this role, you will apply advanced analytics and data science to
real-world national security problems, working across GEOINT, multi-INT,
and enterprise analytic environments. You will help modernize analytic
workflows, introduce new methodologies, and turn complex data into
actionable insights for mission teams and decision-makers.

Responsibilities:

- Perform advanced analytics within GEOINT and multi-INT environments

- Develop, refine, and implement modern analytic methodologies to
improve mission outcomes and customer satisfaction

- Mine, manipulate, and maintain structured analytic datasets,
ensuring quality and usability at scale

- Perform data preprocessing and feature engineering for both
structured and unstructured data

- Create Python scripts that strengthen tradecraft through
reproducible workflows, transparency, and lifecycle management best
practices

- Apply machine learning and statistical techniques such as
regression, clustering, classification, and time-series analysis to
mission datasets

- Evaluate model performance, conduct error analysis, and clearly
communicate results to technical and non-technical audiences

- Operationalize models into repeatable, reliable pipelines that
support intelligence production

- Support GEOINT analysis using imagery, spatio-temporal data, and
multi-source intelligence to uncover patterns, relationships, and
mission-relevant events

- Conduct multi-INT research to enrich imagery analysis with context
and supporting intelligence

- Identify capability gaps and propose enhancements, emerging
technologies, and business case opportunities that improve mission
delivery

- Contribute to the development of new geospatial methods and tools
from an operations research perspective

Required Qualifications:

- Active TS/SCI clearance with eligibility for CI Polygraph

- 10+ years of related experience (can be met through a combination of
experience, education, and certifications/training. All of it will
be considered.)

- Background supporting Intelligence Community operations

- MUST have proficiency in Python and/or R, including common
scientific libraries (NumPy, Pandas, etc.)

- Past experience working with both structured and unstructured data

- Understanding of modern data science best practices, including
governance, reproducibility, transparency, and model lifecycle
management

- Demonstrated experience in database development, maintenance, and
data mining

- Proven capability in identifying opportunities for system
enhancements and new analytic capabilities

- Strong GEOINT and multi-INT tradecraft capabilities, including
imagery and spatio-temporal analysis

- Hands-on experience applying machine learning or statistical
modeling techniques to mission datasets

- Ability to build and maintain pipelines that move models from
development into operational production

Preferred Qualifications:

- Familiarity with building and maintaining GEOINT, SIGINT, or OSINT
datasets

- Prior experience working with FADE tools (MIST, INTELBOOK, LINX,
WATCH BOX) to discover and refine analytical insights.

- Proficiency with commercial off-the-shelf (COTS) statistical tools
such as MapLarge, Tableau, MATLAB, JEMA or Brewlytics for data
visualization and complex statistical analysis

- Familiarity with distributed analytics frameworks such as Spark,
Dask, or Ray

- Knowledge of Transnational Criminal Organizations (TCOs) operating
within the USSOUTHCOM AOR

- Understanding of coca cultivation and production areas

- Familiarity with ICD 203 (Analytic Standards) and ICD 206

- Experience extracting, modeling, and visualizing multi-INT datasets
for descriptive and predictive analysis

- Background in applying deep learning or computer vision methods to
GEOINT or multi-INT datasets

- CNNs, segmentation, object detection

- Experience building analytic dashboards or applications, including
API-driven ingestion, ETL pipelines, and microservice-based
architectures

- Ability to shape analytic outputs so they directly support
operational planning and decision-making

- Familiarity with Structured Observation Management tools and/or
Object-Based Production methodologies

- Strong communication skills with the ability to clearly explain
technical details in an accessible way; ability to create and
deliver demos, briefings, and/or training for both technical and
non-technical audiences

- Experience supporting DoD/IC analytic production, including formal
reports, briefings, and publications