Data Scientist (Python And Geoint Experience)

NorthHill Technology•Springfield, VA

1d•Onsite

About The Position

We are looking for an experienced Data Scientist with Python expertise and a background in GEOINT to support real world high-tempo national security problems. In this role, you will apply advanced analytics and data science to help modernize analytic workflows, introduce new analytic methodologies, and turn complex data into actionable insights for mission teams and decision-makers.

Requirements

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
10 years of related experience (can be met through a combination of experience, education, and certifications/training)
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.

Nice To Haves

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

Responsibilities

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