Mid-Level Data Scientist 117-007

Mid-Level Data Scientist will 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.Duties may Include: 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. 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.Education and ExperienceRequired: Minimum of 5 years of combined experience. Must have proficiency with PythonDesired: Knowledge of GEOINT collection and associated NGA/NRO systems Proficiency with common programming languages including JavaScript, HTML, and CSS Experience with JEMA or low side equivalents (ESRI Model Builder, Alteryx, Tableau Prep) Experience with activity based intelligence (ABI) Experience applying machine learning algorithms to intelligence data Experience with multi-INT data Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologiesSecurity Clearance: Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if neededIC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

Created: 2026-04-02