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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Capstone LLC - **Location:** Huntsville, AL, United States - **Experience:** Expert - **Salary:** $83,164.0 - $172,725.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Adobe InDesign, Agile Methodology, Artificial Intelligence, Algorithm Design, Data Analysis, Systems Engineering, Automated Storage and Retrieval Systems, Cloud Computing, CompTIA Security+, Cyber Security, Computer Programming, Computer Networks, Databases, Computer Engineering, Data Mining, Relational Databases, Linux, Systems Analysis, Python (Programming Language), MATLAB, Machine Learning, Microsoft SQL Server, MySQL, Network Architecture, Packet Analyzer, Oracle (Applications), Search Technologies, Security Information and Event Management, Data Processing, Scripting, Mitre Att&ck, Git, Containerization, Kubernetes, Information Technology, Low Latency, Cybercrime, Data Analytics, Cyber Warfare, Software Version Control, Devsecops, Docker - **Published:** September 4, 2026 - **Apply:** https://www.careerjet.com/jobad/us5381c780d4c7a50fabe793c1d9500a46 ## About the Role Analyze system logs, network traffic, telemetry, and sensor data to identify trends, anomalies, and indicators of cyber threats. Collaborate with software developers, systems engineers, cyber engineers, and government customers to define developmental assessment objectives and validate system performance. Support modeling, simulation, and analytical activities to assess cyber impacts on mission effectiveness. Prepare technical documentation including test plans, procedures, analysis reports, briefings, and recommendations. Participate in design reviews, technical interchange meetings, and customer briefings. Support continuous improvement of cyber testing methodologies, automation frameworks, and analytical capabilities. Qualifications:Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, Data Science, Systems Engineering, or a related technical discipline. Equivalent combinations of education, military experience, and directly relevant professional experience will be considered. Minimum 5 years of professional experience supporting AI development, cyber testing, cybersecurity analysis, systems analysis, software testing, or related DoW technical programs. Demonstrated proficiency with data analysis, algorithm development, or engineering analysis. Programming experience using for automation, scripting, data processing, and analytical tool development. Experience working with relational databases and SQL, including data extraction, manipulation, and reporting. Strong understanding of statistical analysis, quantitative methods, and analytical techniques. Experience analyzing large datasets and presenting technical findings using charts, visualizations, and technical reports. Familiarity with cyber assessment methodologies, cybersecurity principles, and network architectures. Experience working in Linux and Windows environments. Strong written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences. Ability to work independently while contributing effectively within multidisciplinary engineering teams. Active Secret security clearance. Desired Qualifications:TS/SCI security clearance or current SCI eligibility. Master's degree in Cybersecurity, Computer Science, Data Analytics, Systems Engineering, or a related field. Experience supporting Missile Defense Agency (MDA), Army, Navy, Air Force, Space Force, or other Department of War cyber programs. Experience supporting cyber test ranges, cyber exercises, or operational test events. Familiarity with offensive and defensive cyber operations concepts. Experience with packet analysis and Security Information and Event Management (SIEM) tools.Experience using cybersecurity frameworks including MITRE ATT&CK, NIST Cybersecurity Framework, RMF, or DoW cyber standards. Experience with databases such as SQL Server, MySQL, or Oracle. Knowledge of cloud computing environments and container technologies (Docker, Kubernetes). Experience using version control systems such as Git. Familiarity with machine learning, artificial intelligence, or advanced statistical modeling techniques. Professional certifications such as Security+, CySA+, CISSP, CEH, GIAC, GSEC, or related cybersecurity certifications. Experience supporting Agile software development and DevSecOps environments. ## Description mission-level solutions that improve command and control, integrated fires, and decision superiority across joint and coalition operations.Key Responsibilities:Develop and maintain scalable RAG pipelines that integrate vector search, retrieval systems, and cyber domain-specific information sources.Ensure models can process large volumes of logs, indicators of compromise (IOCs), and behavioral telemetry to predict emerging cyber risks.Continuously refine embeddings, indexing strategies, and retrieval mechanisms for accuracy, latency, and completeness.Design, develop, and execute cyber analysis and assessment plans, procedures, and analytical methodologies for DoW programs. Develop automated analysis tools using MATLAB, Python, and related scripting languages to process, analyze, and visualize large volumes of cyber and system performance data. 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