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Concurrent Technologies Corporation · 5 days ago

Data Scientist

Fort Meade, MD

Full-time

Onsite

Mid, Senior Level

$114K/yr - $160K/yr

4+ years exp

Concurrent Technologies Corporation (CTC) 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.

Non Profit

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Sensor fusion techniquesState estimation algorithmsRemote sensing phenomenologyReal-time messaging architecturesProgramming languages PythonProgramming languages MATLABProgramming languages C++Advanced threat modelingAI/ML toolsTime-series databasesGeospatial data processing

Required

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