Our client is looking for a mid-level Data Scientist with strong skills in integrating multi-source sensor data, advanced estimation methods, and understanding of remote observation principles to contribute to cutting-edge projects in defense and security. The role will focus on processing live sensor inputs, leveraging sophisticated analytical approaches, and aiding in the identification, evaluation, and prediction of potential risks. This Role requires an active TS/SCI with FS Poly. **Responsibilities** - Design and implement advanced algorithms to merge and interpret diverse data sources collected from various sensing systems. - Evaluate and extract meaningful information from complex inputs such as radar, electro-optical/infrared imagery, and radio-frequency signals to enhance operational awareness. - Simulate and predict system performance under changing conditions using probabilistic and statistical modeling techniques. - Work closely with experts from engineering, analytics, and mission-focused teams to create prototypes and transition them into field-ready solutions. - Convey analytical results in clear, actionable formats for audiences ranging from technical specialists to decision-makers. - Monitor and integrate emerging developments in data science, artificial intelligence, machine learning, and sensor exploitation technologies into ongoing work. **Requirements**: - Degree in a quantitative discipline such as applied mathematics, computational science, physics, aerospace engineering, or a similar technical field. Equivalent industry experience may substitute for formal education at the graduate level with 4-6 years of experience. - Solid grasp of the principles behind various sensing modalities, such as radar, LiDAR, and optical imaging technologies. - Background in handling live data distribution frameworks or event-driven architectures. - Experience devising and implementing models to forecast, classify, and detect evolving security or defense-related risks. - Proficient in one or more technical programming environments (e.g., Python, C++, MATLAB) for algorithm development, simulation, and data processing. **Desired Attributes** - History of contributing to research or prototype development within defense, aerospace, or intelligence programs. - Familiarity with fielded military technologies, autonomous platforms, or surveillance and reconnaissance systems. - Experience managing spatiotemporal datasets or integrating geospatial analytics into operational workflows.