Вакансии: Данные — Израиль

A financial organization is seeking an experienced BI and data leader to manage teams and deliver end-to-end data projects, from requirements and design through production.

A public transportation company is hiring a BI Developer with an interest in artificial intelligence. The role combines developing and maintaining BI solutions with leading organizational AI initiatives.

Join the Information Systems team to build BI solutions and dashboards using AI tools while managing cross-functional technology projects. The role is approximately 50% hands-on BI development and solution building, with the remainder focused on project management and execution. Hybrid work.

Drive data-informed decisions across a global spare-parts supply chain by analyzing performance, identifying improvements, and supporting strategic initiatives.

Build and deploy machine learning and generative AI solutions for a cybersecurity vulnerability management platform, taking complex problem areas from research through production.

Join a team developing machine learning models that help customers discover live and upcoming sports events. Own work from research through production deployment, collaborating with scientists and software engineers on large-scale, real-time personalization.

Investigate healthcare claims and billing patterns using a proprietary insights platform. Identify and validate potential fraud, anomalies, and payment inconsistencies, and present evidence-based findings to customers.

Build and operate machine learning models that personalize user experiences in a consumer digital product. Own recommendation systems from behavioral data through live deployment, measuring their impact on retention, conversion, and lifetime value.

A large government organization is seeking an experienced BI and data systems analyst to define data solutions, analyze complex business processes, and lead teams on technology projects. The role spans requirements gathering through development, testing, and implementation.

Research, develop, and productize data science capabilities that improve predictive performance on enterprise datasets. Work with research, engineering, and applied AI teams to validate approaches and ship production-ready capabilities.