Junior-level Data Scientist; OBI Analytic Efficiency Enablement - OBIQUA

Celestar Corporation is seeking a Junior-level Data Scientist (OBI Analytic Efficiency Enablement) to support the Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order.

Primary place of performance
: DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

Anticipated Award: December 2025/ January 2026

Anticipated Start: February/March 2026

Period of Performance: 1 Base Year + 4 Option Years

Location: DIA Facilities across the National Capital Region (NCR)

Clearance Requirement: Active TS/SCI with a Current CI Poly

Celestar, a proud Veteran‑Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company‑paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)‑retirement plan with company matching, paid holidays, and personal time off.

• The Data Scientist 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.
• Creates 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.
• Skilled in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau; major data science languages such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Has prior experience with large data multi‑INT analytics, ML, and automated predictive analytics.
• Possesses a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).
• Designs, develops, and evaluates leading‑edge algorithmic intelligence concepts, practices, and technologies for implementation into OBI via 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.
• Collaborates 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.
• Evaluates data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
• Collaborates 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. Graph
  
  QL, SPARQL, SHACL, SQL).
• 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.
• Collaborates with team members to develop and refine exploratory efforts leveraging novel technologies to support and automate entity recognition and extraction, summarization, in…