The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions.
This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.
Responsibilities
Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
Apply experimental design principles to test hypotheses and evaluate intelligence processes.
Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings.
Qualifications
Education
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Required Skills
Proficiency in Python, R, SQL, or similar programming languages.
Experience with data visualization platforms such as Power BI or Tableau.
Strong understanding of statistical techniques and modeling approaches.
Foundational knowledge of AI/ML concepts and applications.
Experience working with relational and/or NoSQL databases.
Familiarity with cloud-based big data technologies.
Ability to explain complex technical findings to non-technical audiences.
Understanding of intelligence analysis processes and mission requirements.
Experience working with structured and unstructured datasets in complex environments.
Experience
Minimum of 1 to 2 years of experience in data science, analytics, machine learning, or related technical fields.
Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity
Numbers & Facts
Location
UNAVAILABLE, HI
Skills
Algorithmsunmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Big Dataunmatched
Cloud Computingunmatched
Computer Scienceunmatched
Conference Managementunmatched
Data Analysisunmatched
Data Miningunmatched
Data Processingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualizationunmatched
Experiment Designunmatched
Intelligence Analysisunmatched
Machine Learningunmatched
Mathematicsunmatched
Metadataunmatched
NoSQLunmatched
Operational Auditunmatched
Operational Supportunmatched
Operations Planningunmatched
Power BIunmatched
Predictive Modelingunmatched
Process Developmentunmatched
Programming Languagesunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
Quantitative Analysisunmatched
R Programming Languageunmatched
Relational Databases (RDBMS)unmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Statistical Modelingunmatched
Statisticsunmatched
Systems Analysisunmatched
Tableauunmatched
Team Playerunmatched
Test Designunmatched
Trend Analysisunmatched
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