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Lead the technical vision, architecture, and implementation of a data platform spanning data infrastructure, data warehouses, and machine learning platforms. Build scalable systems that support reliable analytics, production machine learning, and self-service access to data.
Experienced Data Scientist sought to develop advanced econometric and machine learning models for demand forecasting and deliver production-ready AI systems with measurable business impact.
Hexight is hiring a Senior Data Scientist to develop and deploy advanced data-driven solutions for supply chain planning and forecasting products.
Lead and mentor data and analytics engineers while remaining hands-on in building and operating a scalable, cloud-native data platform for ingestion, anonymization, enrichment, and analytics.
Join a physical AI company developing vehicle health management solutions for commercial fleets. Own data science projects from problem framing and data exploration through modeling, deployment, monitoring, and production support.
Join a BI team developing and maintaining enterprise ETL processes and data pipelines for a large-scale financial environment. The role supports data connectivity across on-premises and cloud systems using Informatica PowerCenter and IICS.
A global technology company is seeking a data-driven analytical consultant for a nine-month temporary assignment in Tel Aviv. The role focuses on business intelligence, marketing measurement, attribution, experimentation, and strategic client consulting.
Join a global data and business intelligence team to develop scalable data pipelines, reliable data products, and AI-powered solutions supporting business operations and decision-making.
Join the data platform team in Tel Aviv to design, build, and operate scalable data infrastructure, ingestion pipelines, and distributed processing systems supporting analytics, applications, AI workloads, and large-scale model execution.
Full-time role in Ra'anana supporting customers in a technical data and cloud environment. The position combines customer success, SQL-based analytics, solution implementation, onboarding, training, and cross-functional issue resolution.