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GrvtyExternal listing

Data Scientist

TS/SCIDoral, Florida, United States· Onsite· full-time· Estimated $108k – $210k est?

Experience required

5+ years of experience

About the role

what you'll be owning:

We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.

why choose grvty

  • Paid Parental Leave
  • Award Programs

Qualifications

  • Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)

  • Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.

  • Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.

  • Experience in data mining, database manipulation, and maintaining structured analytic datasets.

  • Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.** **

  • Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)

  • Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.

  • Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis.

  • Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.

  • Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.

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

  • GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events.

  • Conduct multi-INT research to augment imagery analysis and provide mission-specific context.

  • Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.

  • Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.

  • Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.

  • Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.

  • Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.

  • Experience supporting DoD and IC report production, briefings, and formal analytic publications.

  • Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.

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

  • Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.

  • Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies.

  • Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.

  • Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.

  • Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.

  • An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR

  • An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206

  • An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning #LI-GM1