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Data Scientist at jobr.pro
University of Delaware
- Norfolk, Virginia, United States
- Norfolk, Virginia, United States
Über
🤖 Develop and implement scalable data science and AI solutions, including LLM-based applications. ⚙️ Design and maintain data pipelines, APIs, and cloud-based architectures to support AI and ML workflows. 📊 Preprocess, clean, and transform structured and unstructured datasets for model training and inference. 🧠 Collaborate with data scientists, software engineers, and system architects to operationalize AI/ML systems. ☁️ Deploy containerized microservices and distributed data systems on platforms such as AWS or Azure. 🔍 Conduct research to enhance data accessibility, infrastructure performance, and AI integration. 💬 Provide technical guidance and mentorship to cross-functional teams on data science and AI best practices. 🧩 Support innovation and transformation initiatives within a complex, multinational environment.
Requirements
🎓 Bachelor’s degree (or higher) in Data Science, Computer Science, AI Engineering, or related field. 💼 4+ years of hands‑on experience as a Data Scientist, ML Engineer, or Data Engineer. 🐍 Strong programming skills in Python, Java, or Scala with experience in TensorFlow, PyTorch, or scikit-learn. 🔗 Experience with API development, ETL pipelines, and real-time streaming using tools like Airflow, Kafka, or Spark. ☁️ Proven expertise with cloud‑based architectures (AWS, Azure) and containerization (Docker, Kubernetes). 📚 Solid understanding of data privacy, security, and governance principles in enterprise or government environments. 📈 Ability to translate analytical results into actionable insights for non‑technical stakeholders. 💬 Strong communication, problem‑solving, and collaboration skills in multidisciplinary teams. 🔒 Eligible for or holding NATO or National Secret security clearance.
Benefits
💰 Competitive salary commensurate with experience (range available upon request). 🏥 Comprehensive health and retirement benefits. 🏖️ Paid time off and extended contract duration through December 2030. 🎓 Professional development and ongoing AI/ML training opportunities. 🏢 On‑site role based in Norfolk, Virginia, with potential travel for international collaboration. 🌍 Opportunity to contribute to large‑scale, high‑impact AI transformation projects across global organizations.
Skills
AI Data Science Machine Learning LLM TensorFlow PyTorch Python Java Scala Airflow Kafka Spark AWS Azure Docker Kubernetes Data Engineering API Development Cloud Architecture Data Pipelines NATO Security Clearance #J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
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