Job Title

Senior Data Scientist - Machine LearningTo 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, ExemptAgency/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-timeBenefits:* 401(k)* Dental insurance* Health insuranceSchedule:* 8 hour shift* Monday to FridayApplication Question(s):* What's you salary range? xijylhu * 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