Вакансии: Данные — Israel

Lead the design, implementation, maintenance, and optimization of big data platforms and infrastructure supporting internal intelligence processes.

Join a risk-focused data science team developing machine learning, generative AI, and AI-agent solutions for fraud prevention and secure B2B payments.

Join a research data science team developing and deploying AI capabilities for cloud-native network security and enterprise networking products. Apply machine learning, deep learning, and GenAI to large-scale, real-time network and security data.

Join an NLP team developing research and engineering solutions for large language models, generative AI, and production-grade AI applications. The role covers experimentation, model training, evaluation, distributed infrastructure, and implementation of research into practical systems.

Lead end-to-end SAP data solutions for complex business and financial environments, translating stakeholder needs into functional and technical architectures.

A government security organization is seeking an SAP BW consultant to design analytics infrastructure and lead requirements through delivery to end users.

Join a sponsored, intensive training program in data and business intelligence, then transition into a full-time BI Analyst role with a leading company.

Entry-level opportunity for graduates to complete a free, intensive training program and transition into full-time data and business intelligence roles. Training covers SQL, Power BI, AI for BI, business and data analysis, dashboard development, automation, and BI project delivery.

A mid-senior data analyst is sought to analyze customer behavior, loyalty programs, products, and marketing campaigns, delivering actionable business insights from large enterprise datasets.

Lead the Product Analytics domain for digital products, manage an analytics team, and turn user and product data into actionable business insights. This full-time role is based in Rishon LeZion, Israel, with a hybrid schedule and one work-from-home day per week.