Overview
As a Cloud Data Scientist for SOCEUR, you will extract actionable insights from diverse datasets to support Allied, partner, and US operations. You will build and validate predictive models in a secure, multi-level cloud environment, collaborating with engineers and mission stakeholders. Your work will influence decision-making through clear, technically rigorous analyses and responsible AI practices. This role offers impact at scale within a critical defense program and opportunities to shape analytics in a coalition context.
Leistungen / Benefits
- Moving expenses to relocate household from CONUS to Stuttgart
- Dependent Education
- LQA - Living Quarters Allowance
- Flexible time off benefit
- Robust learning resources
- comprehensive benefits (healthcare, retirement, etc.)
Verantwortungsbereiche
- Analyze large, complex datasets to identify trends and actionable insights for mission requirements
- Prototype, validate, and refine ML and statistical models for predictive analysis, pattern recognition, and anomaly detection
- Cleanse and transform heterogeneous data from multiple sources for reliable analysis
- Collaborate with AI/ML engineering to deploy validated models and document performance metrics
- Engage with data stewards and data integrators on data lineage, quality, and releasability in coalition datasets
- Present technical findings and strategic recommendations to technical and non-technical stakeholders, including senior leadership
- Uphold Responsible AI principles, including bias detection, explainability, and fairness
Zentrale Anforderungen
- US Citizen with active TS/SCI clearance
- Bachelor in Data Science, Statistics, Computer Science, Mathematics, or related discipline
- DoD -M / DoD 8140 IAT Level II baseline certification (e.g., CompTIA Security+, CISSP)
- 5+ years of data science or quantitative analysis experience
- Advanced Python and SQL proficiency
- Deep expertise with Scikit-learn, Pandas, NumPy, and TensorFlow or PyTorch
- Experience developing and validating predictive models on real-world data
- Ability to work independently and communicate complex findings to senior leadership
- TensorFlow Developer Certificate or equivalent ML framework expertise
- Clear communication with senior leadership
- Independent problem solving
- Cross-functional collaboration
- Python
- SQL
- Scikit-learn
Cloud Data Scientist- SOCEUR in Wiesbaden Arbeitgeber: Caci International
CACI ist ein hervorragender Arbeitgeber, der eine Kultur der Integrität und des Vertrauens fördert. Mit einem starken Fokus auf kontinuierliches Wachstum und innovativen Technologien bietet CACI seinen Mitarbeitern die Möglichkeit, in einem dynamischen Umfeld zu arbeiten, das sowohl persönliche als auch berufliche Entwicklung unterstützt. Die flexiblen Arbeitszeiten und umfassenden Sozialleistungen machen CACI zu einem attraktiven Arbeitsplatz für alle, die bedeutungsvolle und erfüllende Karrieren anstreben.
