Data jobs

Analyze mathematical integrity, player activity, equipment performance, and potential risks across Live Casino games. The role combines probability, statistics, programming, and automated reporting.

Join a behavioral analytics company developing data-driven solutions for fraud prevention. Analyze complex datasets, build predictive models, and deliver machine learning solutions for production use.

Build and operate scalable data infrastructure, pipelines, warehouses, and AI-enabled workflows supporting analytics and data-driven decisions.

Design and build real-time data infrastructure for autonomous airspace management and UAV systems. Own streaming pipelines, lakehouse architecture, data modeling, cloud deployment, and performance optimization for high-throughput mission-critical workloads.

Join a global online travel company’s Customer Experience Group to build reliable data foundations, analytics products, dashboards, and internal tools. The role combines data engineering, software development, and business analysis, with opportunities to influence architecture and mentor other team‌

Lead an operational intelligence analyst team within a cybersecurity company. Own end-to-end research projects, define investigation methodologies, ensure output quality, and turn intelligence into actionable operational insights.

Join a growing workforce management software company and help build an AI-enabled analytics platform. You will develop reliable data infrastructure, scalable modeling layers, automation, and self-service data capabilities while partnering with analysts and business stakeholders.

Join a consulting team supporting leading financial organizations in Tel Aviv. The role combines data analysis, information systems auditing, process automation, regulatory technology, and systems implementation projects.

Join a sports technology research team analyzing large, imperfect datasets to identify meaningful signals and support better decisions.

Join a growing research team developing analytical models for complex sports data. You will investigate datasets, refine logic flows, improve data quality, and produce strategic insights rather than dashboards.