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 10 week of 2026