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

Kinsley Power Systems; Reston (VA); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Company-paid dental insurance

401(k) retirement plan with company matching

Paid holidays

Personal time off

401(k) retirement plan

Paid holidays and PTO

Job summary

A Federal contracting firm is seeking a Junior-level Data Scientist to support the Defense Intelligence Agency (DIA). The role involves diverse data analytics tasks such as predictive analysis and developing machine learning tools. Candidates should have a bachelor’s degree and at least 3 years of relevant experience. The position offers competitive salaries, comprehensive benefits, and the chance to work on impactful projects.

Qualifications

• 3+ years related experience with at least a portion in the last 2 years.
• Experience in data analytics, engineering, and machine learning.
• In-depth knowledge of data mining and statistical analysis techniques.

Responsibilities

• Conduct data analytics and mining for informed decisions.
• Develop AI tools to automate various processes.
• Collaborate to create high-quality predictive systems.
• Lead data visualization with Power BI or Tableau to communicate findings.
• Collaborate to apply NLP/ML techniques for ontology automation and semantic accuracy.
• Develop and refine data queries (SQL, GraphQL, SPARQL, SHACL) for knowledge graphs.

Skills

Data analytics

Machine Learning

Data visualization

Statistical analysis

Python

R

SQL

Power BI

Tableau

Data visualization

Education

Bachelor's degree in a relevant field

Tools

Microsoft Office Power BI

Tableau

Python

R

SQL

Job description

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

About Us

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.

Responsibilities

• 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. GraphQL, 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 accordance with analytic tradecraft standards, to enhance advanced analytic integration for OBI efforts.
• 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, has 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, leverages spatial data, exploits application programming interfaces, suggests methodologies, develops 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 software developers to implement distributed algorithms to work on increasingly large and complex data sets.
• Review and evaluate OBI documentation submitted by advanced analytic 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 team members to identify and implement practices for responsible AI development, including bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies.
• 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 implement testing methodologies for system validation and evaluation leveraging qualitative and quantitative metrics (e.g. consistency, method or reasoning completeness, coverage of method or model for proposed solution).
• 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 TEV 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.

Required qualifications/skills

• 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.
• OR
• 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.

Come on board with a company that values its employees!

Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same‑sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.