Вакансии: Данные — Израиль

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.

Build and scale real-time data processing systems for high-volume telemetry, focusing on stream processing, distributed systems, and low-latency performance.

Own product analytics and turn customer and product data into actionable insights that help teams make better product decisions. Work across Product, Data, and Engineering in a fast-moving environment.

A full-time, hands-on role developing and implementing Qlik BI solutions and managing customer projects. Work takes place at client sites or in a hybrid arrangement based on project needs and may involve travel.

Own the technical direction of data pipelines that process billions of web events. Lead design and planning, partner with product and engineering teams, and build reliable systems with strong freshness and accuracy.

Join a mobile and social games company as a Senior Business Analyst. Analyze player behavior and game performance, partnering with Product, Marketing, Design, Game Economy, and LiveOps teams to inform decisions and improve player experiences and business results. This is a hybrid role based in the E

Build production data and machine-learning pipelines that classify, normalize, structure, and match product data across a catalog of more than a billion records. Work with LLMs and other ML methods, scale solutions on cloud infrastructure, and collaborate with Product and R&D teams.

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.