Salary: 45.000 - 60.000 € per year Requirements: U.S. Citizenship and active Secret or Top Secret security clearance. Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. 5 years of experience in data science or machine learning, with at least 2 years supporting federal or defense programs. Proficiency with Maven, Vantage, TDP, and Advana. Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data wrangling, feature engineering, and model evaluation in secure or air-gapped environments. Familiarity with DoD data systems, cybersecurity protocols, and cloud platforms (e.g., AWS GovCloud, C2S, Azure Government). Responsibilities: Lead the design, development, and deployment of machine learning models for defense-related applications, including predictive analytics, anomaly detection, and decision support systems. Collaborate with multidisciplinary teams including analysts, engineers, and military stakeholders to define requirements and deliver actionable insights. Apply advanced statistical and machine learning techniques to structured and unstructured data from diverse sources (e.g., sensor data, ISR, logistics, cyber). Ensure models are explainable, auditable, and compliant with DoD AI ethical principles and data governance policies. Mentor junior data scientists and contribute to the development of reusable tools, frameworks, and best practices. Support the integration of ML models into operational systems and cloud-based environments (e.g., AWS GovCloud, Azure Government). Technologies: AI AWS Azure Cloud Support Machine Learning Maven PyTorch Python Security TensorFlow Docker Kubeflow Kubernetes More: We are seeking a mission-driven Senior Data Scientist with Machine Learning expertise to support advanced analytics and AI/ML initiatives within the Department of Defense. This role involves leading the development of machine learning models to support national security objectives, operational readiness, and strategic decision-making. The ideal candidate will have a strong background in data science, experience working in secure environments, and a passion for solving complex problems at scale. Candidate will live and work in the Kaiserslautern, Germany area for at least one year or more. Job Type: Full-time Benefits: - Competitive salary and federal benefits package. - Opportunities for clearance sponsorship and career advancement. - Access to cutting-edge technologies and mission-critical projects. - Supportive team culture with a focus on innovation and impact. Application Questions: - Whats your salary range? - Are you willing to relocate to Kaiserslautern, Germany for at least one year? Education: - Masters (Preferred) Experience: - Data science: 5 years (Required) - Machine learning: 5 years (Required) - Maven, Vantage, TDP, Advana: 3 years (Required) Security clearance: - Secret (Preferred) Work Location: - In person last updated 5 week of 2026