Exploitation Specialist Data Scientist O-M or RDT-E Mid-Level 117-007

This is a future position that may come open but is not open now. We are willing to prescreen personnel for these positions if you are interested.

Exploitation Specialist Data Scientist O-M or RDT-E Mid-Level:

Position Responsibilities (O-M):

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, data mining, and visualization. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.

Position Responsibilities (RDT-E):

Support NSG strategies through the research and creation of new methods, tools, and capabilities that support automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Create and test the operational performance requirements and metrics of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Create and modify data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Engineer technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct research on emerging technologies and processes to be able to assess if they will be beneficial to the Collections Community. Create tools, capabilities and workarounds based off gap analysis on existing technologies and processes. Engineer, design, create, enhance, and integrate new BBN processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Engineer, adapt and create those solutions identified above. Provide support for emerging requirements as assigned by the Government.

Mid-Level:

Implementing/Leading, ushering and executing tasks. These are positions that exhibit technical proficiency in the work and should be expected to work with minimal oversight and often lead smaller teams in their service execution. Should be fully capable of meeting most services without direction. Work products should demonstrate consistent high quality tradecraft application. Expected to assist lower-level personnel in developing tradecraft skills to meet work objectives. Expected to collaborate with Government and other stakeholders in the performance of services. Such collaboration should provide accurate technical information that contributes to synergized analysis that is better than the sum of the individual parts.

Required 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.
  

Required Education and Experience:

• High School
  
• Some college education is desired but not required.
  
• Minimum of 5 years combined experience.
  

Security Clearance:

• Active TS SCI and the willingness to take a polygraph if needed.