Job Description
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? xhqgsiq
* 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
