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Data Scientist
- Arena Technical Resources, LLC (Miami, FL)
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Data Scientist
Job ID: ATR 17803
Job Description
Job Title: Data Scientist
Eligibility: Candidate must possess an active TS/SCI clearance
Job Description:
We are looking for experienced Data Scientists withPythonexpertise and
aGEOINTbackground to support mission-critical intelligence operations.
In this role, you will apply advanced analytics and data science to
real-world national security problems, working acrossGEOINT, 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 withinGEOINT and multi-INTenvironments
- 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
- CreatePythonscripts 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
- SupportGEOINTanalysis using imagery, spatio-temporal data, and
multi-source intelligence to uncover patterns, relationships, and
mission-relevant events
- Conductmulti-INTresearch 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 inPythonand/orR, 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
- StrongGEOINTandmulti-INTtradecraft 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 maintainingGEOINT, 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-INTdatasets
- 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
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