Sr. Data Scientist (Kaiserslautern, Germany)

Senior Data Scientist – Machine Learning

To be considered for an interview, please make sure your application is full in line with the job specs as found below.

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

Benefits :

401(k)

Dental insurance

Health insurance

Schedule :

8 hour shift

Monday to Friday

Application Question(s) :

What's you salary range? xklufbp

Are you willing to relocate and work in Kaiserslautern, Germany for at least one year or more?

Education :

Master's (Required)

Experience :

Data science : 5 years (Required)

Machine Learning : 5 years (Required)

Maven, Vantage, TDP and Advana : 3 years (Required)

Security clearance :

Secret (Required)

Work Location : In person