Our customer is seeking a Data Scientist with expertise in sensor fusion, state estimation techniques, and remote sensing phenomenology to support advanced research and development efforts in national security and defense. This position involves working with real-time sensor feeds, applying advanced analytics, and helping to detect, assess, and anticipate emerging threats. The ideal candidate will bring strong domain knowledge, and hands-on technical ability. PLEASE NOTE: They are hiring in both Columbia, MD and Dayton, OH.

• Develop and apply state estimation algorithms and sensor fusion models to process multi-modal data streams from remote sensing platforms.
• Analyze and interpret complex sensor data feeds (e.g., radar, EO/IR, RF) and real-time messaging services to enable situational awareness.
• Model system behavior under dynamic conditions using tools such as Kalman filters, particle filters, and Bayesian inference techniques.
• Collaborate with multidisciplinary engineering, analytics, and mission teams to support rapid prototyping and operational systems development.
• Support identification and characterization of advanced threats and adversarial tactics through data analysis and pattern recognition.
• Translate technical findings into actionable insights and communicate effectively with both technical and non-technical stakeholders.
• Stay current with advancements in applied data science, AI/ML, and sensor processing technologies.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Mathematics, Statistics, Physics, Aerospace Engineering, or a related quantitative field. With 6-8 years of related experience, or a Master of Science degree with 4-6 years of experience, or a PhD with 2-4 years of experience
• Hands-on experience with sensor fusion techniques and state estimation algorithms (e.g., Kalman filters, SLAM, tracking filters).
• Strong understanding of remote sensing phenomenology, including knowledge of radar, lidar, or electro-optical systems.
• Experience with real-time messaging architectures (e.g., ZeroMQ, DDS, Kafka).
• Familiarity with advanced threat modeling and detection strategies in the context of national defense or intelligence.
• Proficiency in programming languages such as Python, MATLAB, or C++, with experience in scientific computing or simulation environments.

Please refer the Job description for details