Вакансии: Data Science — Israel

Lead a team of senior data scientists while remaining hands-on in the development and deployment of large-scale machine learning systems for digital advertising analytics.

Join a sovereign cybersecurity company to develop and deploy advanced AI systems for government-focused security products. The role covers applied research, LLMs, deep learning, and agent-based architectures, with ownership from problem definition through production deployment.

Support enterprise data, analytics, and AI automation by developing machine learning models, LLM-powered agents, and production data workflows.

Develop production-grade AI and data science solutions for complex industrial, manufacturing, technology, and operational challenges. The role includes algorithm development, computer vision, predictive modeling, optimization, and AI agent development using scalable cloud and machine learning data.

Develop and deploy production-grade machine learning, probabilistic forecasting, time series, and optimization solutions for supply chain planning software in Tel Aviv.

Conduct systems performance research for intelligence, electronic warfare, and communications systems, bridging engineering development and operational needs.

A defense technology organization is seeking a senior performance researcher and algorithm specialist to analyze complex radar systems, develop analysis and simulation tools, and support field experiments in Israel and abroad. The role is based in Ashdod, with a planned future relocation of the site

Develop advanced audio, speech, and multimodal AI systems for real-time understanding, generation, and analysis in noisy operational environments. The role covers research, model development, evaluation, and on-premise or edge deployment.

Lead a team of data scientists and data engineers building scalable data infrastructure, distributed processing workflows, and machine learning products for real-time pricing and decision intelligence.

Join an R&D team developing AI capabilities for a federated computing platform. Build internal AI tools, develop and validate models, and help improve platform functionality through hands-on testing across diverse use cases.