Empleos de Datos en Israel

Own the design and implementation of the company’s data infrastructure and analytics ecosystem. This first dedicated data role reports to the CTO and is based in a hybrid Tel Aviv R&D center, with two remote workdays per week.

Join a core analytics team supporting a high-growth B2C mobile entertainment platform. Analyze user behavior and commercial performance, build analytics infrastructure, and partner with product and marketing teams to inform decisions. The role is based in Central Tel Aviv with one work-from-home day

Own end-to-end product analytics for a growing consumer AI browser, using behavioral data and experimentation to guide product decisions across desktop and mobile.

Develop and implement data solutions in complex enterprise environments, including ETL/ELT pipelines, integrations, and data warehouse processes.

Volunteer role supporting research analysis and experiment design through statistical consultation, computational pipelines, and predictive modeling. The posting states that volunteer opportunities are unpaid at this stage and do not guarantee future employment or compensation.

Own the lifecycle of business requirements and data solutions, from analysis and design through development, deployment, and production monitoring. Work across on-premises and cloud environments, relational and NoSQL databases, and batch and real-time processes.

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.

Build and operate a cloud data platform and production-grade data pipelines for a fintech company providing cross-currency solutions to software platforms and marketplaces.

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

Develop end-to-end cloud data solutions, pipelines, and data products, working with business stakeholders and BI, AI, and analytics teams from requirements through production.