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

About the role

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. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR).

Responsibilities

• 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.
• Determines the feasibility of new ideas and designs solutions to problems, using scientific techniques and analytical skills.
• 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 R and 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.
• 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.
• 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.
• Evaluates data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
• 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).
• 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.
• 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.
• 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.

Qualifications

• 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.