Advanced Analytics Engineer

Advanced Analytics Engineer

Full‑time, Regular Professional, Tucson, AZ, US.

Requisition . Posted 3 days ago.

Salary Range: $ - $ Annually.

At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation (RRC), an employee‑owned company, is seeking an experienced Analytics Engineer to advance complex intelligence operations and contribute significantly to our analytical capabilities. This position requires solid intelligence and technical expertise, growing leadership skills, and the ability to work independently on challenging intelligence collection and analysis tasks while supporting fellow analysts and technical staff. The ideal candidate is a talented, tenacious, results‑driven individual who will work in a multi‑disciplinary R&D environment with electrical engineers, mathematicians, computer scientists, and analysts who are collectively responsible for creating custom digital signal processing solutions and leveraging them to make an operational mission impact.

• Using familiarity with national intelligence databases, sources, methodologies, and analytical tradecraft, extract data relevant to operational and in‑development systems.
• Participate as a member of development teams by offering an intelligence operator perspective and provide feedback on CONOPs and tool development.
• Working as a member of a team, provide feedback on system efficacy by analyzing results and comparing to optimal/expected system performance; serve as an initial validator for new capabilities.
• Collaborate with program managers, engineers, business development, and mission partners to identify analytical requirements and deliver data‑driven solutions.
• Apply artificial intelligence, machine learning, and automation technologies to improve operational efficiency and analytical workflows.
• Employ newly‑developed systems in support of customer mission objectives.

Education

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Math, or a related field.

Experience

• Minimum 8 years of experience in signals intelligence, electronic warfare, or a related technical analysis field.

Technical Analysis Skills

• Strong data extraction and pattern recognition abilities.
• Experience with statistical analysis and performance metrics evaluation.
• Experience with data analysis, data visualization, and statistical methods using tools such as Python, SQL, R, or similar analytical environments.
• Working knowledge of artificial intelligence and machine learning concepts, including the application of generative AI, predictive analytics, or automation to mission or business problems.
• Familiarity with data engineering and Dev Ops practices, including version control (Git), CI/CD pipelines, containerization (Docker), and cloud‑based development environments.
• Active TS/SCI security clearance.
• Familiarity with Intelligence Community databases and systems.
• Understanding of intelligence collection methodologies and analytical tradecraft standards.
• Knowledge of operational security considerations.
• Experience in systems testing and validation.
• Proven ability to provide operational feedback to technical development teams.
• Experience with concepts of operations (CONOPS) development.
• Strong understanding of translating operational requirements into technical specifications.

• Experience supporting the United States Department of Defense and/or the U.S. Intelligence Community.
• Background in cross‑functional team environments, bridging technical and operational perspectives.
• Experience applying AI/ML techniques to ISR, geospatial intelligence, signals intelligence, or mission planning workflows.
• Familiarity with Agile, Dev Sec Ops , Model‑Based Systems Engineering (MBSE), or Digital Engineering practices.
• Experience with large language models (LLMs), retrieval‑augmented generation (RAG), vector databases, or AI agent frameworks.
• Professional…