Вакансии: Данные

A consumer cybersecurity company is seeking a Senior Data Engineer to build reliable data infrastructure, pipelines, and production-ready datasets for threat detection, risk investigation, and customer protection products.

Join an in-house BI team in Tel Aviv to own scalable analytics foundations end to end. You will transform raw data into trusted models, pipelines, semantic layers, and business-critical insights for Product, go-to-market, and Finance teams. The role is hybrid, with three office days per week.

A global B2C travel technology company is seeking a Senior Data Analyst to lead customer, growth, and marketing analytics. The role partners with Data Science, Product, Marketing, and Business teams to turn complex data into actionable recommendations and measurable business outcomes. The position4?

Full-time role supporting clinics in the Jerusalem District through data analysis, reporting, presentations, and process improvement. Positions are available in Jerusalem, East Jerusalem, and surrounding communities.

Lead the Data organization for a growing commerce technology company. Own the technical vision, architecture, and execution of data engineering and infrastructure while leading teams and strategic initiatives.

Join a mobile gaming analytics team and use player and product data to generate actionable recommendations, improve game performance, and guide product and business decisions.

A global cloud intelligence company is hiring a remote Data Engineer to own data integrations, ingestion pipelines, normalization, and data correctness across cloud and SaaS billing sources.

Join a cybersecurity research and engineering team developing agentic LLM solutions that help prevent attacks. The role combines data science, software engineering, machine learning, and applied cybersecurity research, with work spanning ideation through deployment. The position is based in Tel Aviv

Lead end-to-end Data Science initiatives for security policy management systems, developing production-grade machine learning, LLM, and AI agent capabilities. Own problem framing, evaluation, deployment, monitoring, and optimization while providing technical leadership across multidisciplinary teams

Own the data science and machine learning systems that improve matchmaking, recommendations, personalization, and long-term user satisfaction on a consumer dating platform.