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Senior Data Scientist (m/w/d)
45.000 - 60.000 €
JANSON
Remigiusbergstraße 20, Kaiserslautern
45.000 - 60.000 €
Requirements
Must:
- U.S. Citizenship and active Secret or Top Secret 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.
- 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).
Technologies
AI
Kubeflow
Machine Learning
Maven
PyTorch
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).
Description
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. Job Type: Full-time 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. Application Questions: - What's your salary range? - Are you willing to relocate to Kaiserslautern, Germany for at least one year? Education: - Master's (Preferred) Experience: - Data science: 5 years (Required) - Machine learning: 5 years (Required) - Maven, Vantage, TDP, Advana: 3 years (Required) Security clearance: - Secret (Preferred) Work Location: - In person
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You can find Data Engineer salaries in Germany here.
How many Data Engineer jobs are in Germany?
Currently, there are 2523 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Germany a good place for Data Engineers?
Germany is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Germany?
Senacor Technologies AG, Healthy Projects GmbH, INFOMOTION GmbH, PTA GmbH, Codefy GmbH, GermanTechJobs Talents, ING Deutschland among others, are currently hiring for Data roles in Germany.
The company with most openings is netgo group GmbH as they are hiring for 135 different Data Engineer jobs in Germany. They are probably quite committed to find good Data Engineers.
The company with most openings is netgo group GmbH as they are hiring for 135 different Data Engineer jobs in Germany. They are probably quite committed to find good Data Engineers.