Senior Data Scientist
Vor 6 Tagen
Full-time
Description
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.
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