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Sr. Data Scientist (Kaiserslautern, Germany)

JANSON

Fairfax, Virginia, United States

Fairfax, Virginia, United States

À propos

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? xevrcyc * 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)

Fairfax, Virginia, United States

Compétences linguistiques

English

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