DATA SCIENTIST WITH TS/SCI CLEARANCE (Python & GEOINT experience)

• Perform data preprocessing and feature engineering for both structured and unstructured data
• Mine, manipulate, and maintain structured analytic datasets, ensuring quality and usability at scale
• Develop, refine, and implement modern analytic methodologies to improve advanced analytics within GEOINT and multi-INT environments
• Create Python scripts that strengthen analytic tradecraft through reproducible workflows and best practices using scientific computing libraries (NumPy, Pandas, etc.)
• Perform data science / data analysis to uncover relationships, trends, and mission-relevant events using GEOINT datasets (imagery, spatio-temporal datasets, and multi-source intelligence)
• Create visualizations and / or dashboards to convey the story behind the data
• MUST have proficiency in Python and/or R, including common scientific libraries (NumPy, Pandas, etc.)
• Understanding of modern data science best practices, including governance
• Past experience working with both structured and unstructured data
• Ability to perform data mining
• Experience building analytic dashboards or visualization applications so that data can be shaped or framed in a way that it supports operational planning
• Background supporting Intelligence Community operations
• Background with GEOINT or multi-INT
• Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
• Active TS/SCI clearance with CI Polygraph (we can sponsor your poly if you don't already have one, but you must have an active TS/SCI)
• 10 years of related experience (can be met through a combination of experience, education, and certifications/training – everything will be considered, a few examples are below).
• 7 years of relevant experience and a BS degree is an acceptable equivalent
• 6 years of relevant experience, an AA degree, and 4 professional relevant certifications is an acceptable equivalent.
• If you have an Associates, a Bachelors, and a Masters – you’d only need 3 years or relevant experience.
• 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
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
• Background in applying deep learning or computer vision methods to GEOINT or multi-INT datasets
• CNNs, segmentation, object detection

None flagged.