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Job Summary:
Core One is a company focused on providing analytical and operational solutions to national security challenges. They are seeking a Data Scientist to design and implement machine learning models and algorithms to enhance UAS/sUAS threat detection and analysis, while collaborating with various stakeholders to ensure effective integration and operational performance.
Responsibilities:
• Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat detection, classification, tracking, and behavioral analysis in support of operational and programmatic requirements.
• Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing, feature engineering, model development, validation, deployment, and monitoring.
• Support the integration of ML models and AI-enabled capabilities into UAS/sUAS detection systems, ISR platforms, sensor fusion architectures, and command and control systems.
• Provide technical oversight and guidance during model testing, validation, and operational evaluation to ensure algorithm performance meets mission requirements and identify areas for improvement.
• Analyze large volumes of structured and unstructured data from multiple sources, including sensor data, imagery, signals, and open-source information, to develop actionable intelligence insights.
• Support the development and review of technical proposals, white papers, and research assessments related to AI/ML applications in UAS detection, counter-UAS operations, and autonomous systems.
• Coordinate with program managers, data engineers, and government stakeholders to ensure data pipelines, storage architectures, and computing infrastructure support ML model development and deployment at scale.
• Apply computer vision, natural language processing (NLP), and signal processing techniques to develop multi-domain analytical capabilities in support of UAS/sUAS threat analysis.
Qualifications:
Required:
• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline
• Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications.
• Demonstrated experience with the full ML development lifecycle, including data preprocessing, model training, hyperparameter tuning, validation, and production deployment.
• Hands-on experience with data engineering tools and platforms including SQL, Spark, Kafka, and cloud-based data services such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills with the ability to translate complex data findings into actionable insights and communicate results to both technical and non-technical audiences.
• This position requires a TS/SCI Clearance
Preferred:
• Master's degree or PhD
• Experience working with multi-source sensor data, including RF signals, EO/IR imagery, radar, and acoustic data, to develop sensor fusion and anomaly detection capabilities is highly desirable.
• Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in support of UAS/sUAS or ISR applications is highly desirable.
• Familiarity with DoD data standards, cybersecurity requirements, and AI ethics frameworks including the DoD AI Strategy and Responsible AI guidelines.
Company:
Core One is the frontier of innovative ideas and creative solutions to solve our nation's most complex challenges. Founded in 2014, the company is headquartered in Sterling, USA, with a team of 201-500 employees. The company is currently Growth Stage.