משרות בתחום נתונים בישראל

Own product analytics for classification and brand safety, supporting data-driven decisions, analytics engineering, and AI-assisted reporting workflows.

Lead research and development of deep learning solutions for semiconductor metrology challenges within a technology research group.

Join an AI delivery team building end-to-end AI solutions for enterprise clients. Work primarily on Generative AI, including RAG pipelines and LLM systems, as well as classical machine learning and data science. The full-time role is on-site in Lod and requires security clearance.

Join a cybersecurity team developing and deploying machine learning and LLM capabilities to address complex security challenges. Work with data scientists, engineers, security researchers, and product managers from research and experimentation through production.

Own applied machine learning for recommendations and personalization, from behavioral data and model adaptation through production deployment and impact measurement.

Build and deploy models that turn financial transaction data into customer insights. Work with Product and Engineering from problem evaluation through production and ongoing improvement.

Own the data function and lead its evolution toward AI-driven business intelligence. Oversee data infrastructure, analytics, experimentation, and AI-enabled workflows while partnering with teams across the business.

Build and operate data infrastructure, reporting tools, and internal applications that support business operations and decision-making. Work with business stakeholders, the executive team, and development teams to deliver solutions from concept through production.

Analyze customer behavior and company performance across web and product platforms. Define and validate event tracking, investigate conversion funnels, and provide actionable insights in collaboration with product, engineering, and BI teams.

Join an AI product analytics team to transform product usage data into insights that guide roadmap decisions. Own BI solutions, establish analytics standards, and mentor analysts on effective data communication.