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Celestar Holdings Corporation · 1 month ago

Junior-level Computer Scientist (OBI Analytic Efficiency Enablement) - OBIQUA

Reston, VA

Full-time

Onsite

Entry Level

3+ years exp

Celestar Corporation is seeking a Junior Computer Scientist (OBI Analytic Efficiency Enablement) to support the Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The role involves employing various scientific techniques to analyze intelligence data and develop machine learning algorithms to assist in intelligence missions.

EducationInformation Technology

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources

Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities. Integrates or codes algorithms to support Government intelligence search and discovery missions

Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints

Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development

Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence

Prepares products to describe and document findings and activities

Review and evaluate OBI documentation submitted by data and AA owners to ensure compliance with tradecraft standards and adherence to best practices in system development and deployment

Assess OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to data and AA owners and developers

Assist in maintaining a repository of OBI documentation to facilitate knowledge sharing and best practices across the organization

Collaborate with team members to identify and implement practices for responsible AI development, including but not limited to bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies

Provide consultation and guidance to NA owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for system development, testing, and deployment

Collaborate with team members to develop and refine semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g. GraphQL, SPARQL, SHACL, SQL)

Collaborate with AA owners and developers to identify and address potential issues or gaps in OBI documentation

Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the OBI process and its application in AI system development

Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language

Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to support and automate entity recognition and extraction, summarization, in accordance with analytic tradecraft standards, to enhance advanced analytic integration for OBI efforts

Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language

Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards

Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities

Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts

Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement

Develop and implement corrective actions to address TEVV findings and ensure AI system performance and robustness

Develop and implement AI system maintenance schedules to ensure continued system performance and robustness

Collaborate with stakeholders to identify and prioritize AI system improvements and updates

Develop and implement system updates and improvements to ensure compliance with tradecraft standards and best practices

Conduct technical assessments to ensure compliant use of AI systems for approved use cases in all source analysis

Evaluate AI system performance and adherence to tradecraft standards and identify areas for improvement

Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization

Possesses in-depth knowledge employing data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to design and develop automated or computer-assisted prototypes or software to derive insight

Serves as the primary POG for development expertise, working to streamline repetitive processes, access and integrate disparate data sets, and maintain internal tools for analytic production

Provides advice on opportunities to advance DIA's analytic edge by creating minimum viable products (MVPs) that standardize and export DIA tradecraft

Creates documentation capturing the function and purpose of MVPs and support transition to internal or external teams that will scale the capability to enterprise applications

Possesses experience working with increasingly large and complex data, working and standing up distributed cluster for advanced analytics, and creating algorithms to clean, process, analyze, and visualize data

Possesses experience with Python, HTML, SQL, JavaScript, and maintaining source code using Git

Makes recommendations to develop MVPs based on capabilities demonstrated in Tasks 2 through 4 and mission requirements. Requires TPOC and COR approval

Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories

Creates, edits, and disseminates, in partnership with other vendors or software developers, capability update briefs capturing outstanding requirements, requested features, bugs, planned development efforts, and priorities for prototypes or MVPs

Researches and designs data, software, and other technical approaches to support all source intelligence analysis and data exploitation

Designs and implements technical solutions that deliver automation, machine augmentation, and tradecraft compliant capabilities. Delivers technical capabilities that enhance the ability for all source analysts to interrogate increasingly large and complex data sets

Qualification

Machine LearningData MiningData EngineeringStatistical ModelingPythonSQLNatural Language ProcessingCollaborationCommunicationProblem Solving

Required

Minimum 3 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a bachelor's degree

A minimum of 7 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years may be substituted for a bachelor's degree

Active TS/SCI with a Current CI Poly