Senior Data ScientistWe have an immediate opening for a
Senior Data Scientist in our Huntsville, AL office to support the development of next-generation defense capabilities through mission-focused operational analysis, technical studies, and solution architecture. Working closely with Department of War (DoW) customers, the successful candidate will analyze complex multi-domain operational challenges, develop innovative concepts and requirements, and evaluate 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.
- Develop metrics, dashboards, and reports that communicate test results, operational effectiveness, and technical findings to government stakeholders.
- 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.
