Position Title: Data Scientist
Position Type:  Onsite
Location:  Springfield, VA
Clearance:  TS/SCI

Description:
The Data Scientist will play a pivotal role in supporting National Security Group (NSG) strategies through the development and enhancement of automated systems and models. This role involves creating automated collection models, dynamic analytic models, and workflow automations to optimize operational performance. The specialist will utilize data science and visual programming skills to streamline analysis tasks, enhance technical solutions, and address complex problems related to intelligence integration and information sharing. The ideal candidate will possess expertise in various geospatial software applications and programming tools, enabling them to contribute effectively to the team's objectives.

Responsibilities:

• Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
• Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
• Conduct extensive collections and analytic modeling, data processing

Requirements:

• A Bachelor's or Master's degree in Data Science, Computer Science, Geospatial Science, or a related field is preferred.
• Proven experience in developing and implementing automated solutions, with a focus on data science and analysis.

Technical Skills:

• Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.