Celestar Holdings Corporation · 1 month ago
Mid-level Data Scientist (OBI Advanced Analytic Method Augmentation) - OBIQUA
Reston, VA
Full-time
Onsite
Mid, Senior Level, Lead/Staff
8+ years expCelestar Corporation is seeking a Mid-level Data Scientist to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The role involves conducting various data analytics and engineering tasks, building AI tools, and collaborating with stakeholders to enhance analytic processes and methodologies.
EducationInformation Technology
No H1B
Security Clearance Required
Responsibilities
The Data Scientist (OBI Advanced Analytic Method Augmentation), Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions
Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes
Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems
Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems
Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms
Should have prior experience with large data multi-INT analytics, ML, and automated predictive analytics
Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into all-source analysis tradecraft, assessments, production, and dissemination
Proposes advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives, assists in model formulation or experimental test design, and shares jointly in team responsibility for development of advanced analytic techniques and assessments
Evaluates data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions
Conducts continuous independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art, keeps senior leadership apprised of the advances and applicability to programs
Utilizes in-depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis
Provides technical input into and participates in the development of software and computer graphics systems
Performs research studies to understand the process of augmenting or automating all source analytic processes using various computer models
Provides incremental enhancements to tools, capabilities, processes, and methods
Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions
Writes either R or Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms
Possesses prior experience with large data, spatial data, multi-INT analytics, ML, and automated predictive analytics
Works with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. This requires working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production
Creates and works in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM
Serves as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract
Provides advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in its use of data science
Works with DIA vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets
Review and evaluate OBI documentation submitted by advanced analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment
Assess OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to owners and developers
Provide consultation and guidance to data and AA owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for system development, testing, and deployment
Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language
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 the Computer Scientist to develop and implement testing methodologies for system validation and evaluation
Conduct audits to ensure compliant use of systems for approved use-cases in all source analysis
Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization
Design and execute TEVV protocols to evaluate the performance, robustness, and fairness of systems in all source analysis contexts
Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement
Collaborate with stakeholders to develop and implement corrective actions to address TEVV findings
Develop and track performance metrics to evaluate the effectiveness of systems in all source analysis
Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement
Collaborate with stakeholders to develop and implement data-driven decision-making processes to inform system development and improvement
Develop and refine methodologies for evaluating system performance, robustness, and fairness in all source analysis contexts
Collaborate with stakeholders to develop and implement best practices for system development, testing, and deployment
Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories
Qualification
Required
Minimum 8 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
Active TS/SCI with a Current CI Poly
Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau
Experience with major data science languages, such as R and Python
Experience managing and merging of disparate data sources, preferably through R, Python, or SQL
Experience with statistical analysis and data mining algorithms
Prior experience with large data multi-INT analytics, ML, and automated predictive analytics
In-depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis
Experience writing R or Python scripts to drive data science workflows
Experience using SQL
Ability to work with ambiguous information, deconstruct key questions, leverage spatial data, and exploit application programming interfaces
Working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs)
Experience creating and working in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets
Ability to provide advice on emerging data science methods, tools, algorithms, training, or requirements
Experience reviewing and evaluating documentation for compliance with tradecraft standards and adherence to best practices in AI system development and deployment
Ability to collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language
Experience conducting audits to ensure compliant use of systems for approved use-cases in all source analysis
Experience developing and maintaining a repository of audit findings and recommendations
Experience designing and executing TEVV protocols to evaluate the performance, robustness, and fairness of systems
Experience developing and applying statistical models and methods to analyze TEVV results
Experience developing and tracking performance metrics to evaluate the effectiveness of systems in all source analysis
Experience analyzing and interpreting performance metrics to identify trends, patterns, and areas for improvement
Benefits
Company-paid employee and family dental insurance
Employee health insurance
Life insurance
Disability coverage
401(k)-retirement plan with company matching
Paid holidays
Personal time off
Company
Celestar Holdings Corporation
Celestar Holdings Corporation is a defense & space company offering intelligence training services.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Gregory Celestan
Chief Executive Officer
Lewis Jolly, PMP
Chief Financial Officer
Company data provided by crunchbase