Sr. Data Scientist; Kaiserslautern, Germany

Position: 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 didate 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 Gov Cloud, 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, Tensor Flow, 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 Gov Cloud, 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? xrlwcon

* 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