Sr. Data Scientist (Kaiserslautern, Germany)

Senior Data Scientist – Machine Learning

Location: [Onsite – DoD Facility / Hybrid / Remote with Clearance Requirements]

Clearance Level: [Secret / Top Secret / TS/SCI – specify as required]

Position Type: Full-Time, Exempt

Agency/Client: [e.g., Department of Defense, U.S. Army, DARPA, etc.]

Position Overview:

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.

Location: Kaiserslautern, GE

Start: Immediately

Clearance: Secret

Key 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).

Required Qualifications:

• U.S. Citizenship and active [Secret / Top Secret / TS/SCI] 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.
• Must possess 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).

Preferred Qualifications:

• Experience with MLOps tools (e.g., Allow, Kubeflow) and containerization (Docker, Kubernetes).
• Knowledge of DoD AI/ML policies, ethical AI frameworks, and data labeling standards.
• Background in NLP, geospatial analytics, or time-series forecasting.
• Experience with classified data handling and cross-domain solutions.
• 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.

Job Type: Full-time

Application Question(s):

• What's your salary range?
• Are you willing to relocate to Kaiserslautern, Germany for at least one year?

Education:

• Master's (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