Вакансии: Data Science — Израиль

Own evaluation methods and infrastructure for production AI agents. Define trusted quality metrics, integrate continuous evaluation into agent workflows, and help teams use evaluation results to make production decisions.

Develop and improve machine learning solutions for large-scale, low-latency advertising systems. Build models end to end and work with engineering and business teams to deliver predictions and actionable insights.

A mobile gaming company is hiring a data scientist to develop and deploy models that shape player experiences and improve retention and monetization. The role spans problem definition, data and modeling, backend integration, and impact measurement.

Lead and mentor a team of data scientists building AI solutions for digital pathology, oncology, and drug development. Combine technical direction and team leadership with hands-on machine learning work. The role is based in the Tel Aviv office four days per week, with a fixed work-from-home day onT

Develop real-time predictive models and simulations using historical sports data to produce forecasts and betting insights.

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.