Empleos de Datos

Join a growing fraud prevention team building scalable data pipelines, analytics infrastructure, and data-centric software with AWS and AI-powered development tools.

Join a fraud prevention data engineering team building reliable, scalable data assets and pipelines for analytics, research, and fraud reduction. The role involves close collaboration with analysts, data scientists, software developers, and product stakeholders.

Project-based, fully remote opportunity to clean and reconcile HR data, establish reliable employee and leave-data structures, automate leave workflows, and implement governance controls. The role covers discovery through implementation and documentation, with autonomous delivery across a fixed-sية?

Join a team building data and AI solutions that support business operations and decision-making. This hybrid role combines business intelligence, data engineering, analytics, automation, and practical AI implementation.

Own end-to-end business intelligence solutions across the organization, developing reports, dashboards, data models and ETL processes. The role focuses on Qlik Sense while supporting the transition to Power BI and Microsoft Fabric, in collaboration with global teams, vendors and business users.

Join a global technology company as a Senior Data Scientist, using advanced analytics, experimentation, and statistical methods to inform product strategy, understand user behavior, and guide business decisions.

Own business intelligence strategy and reporting for a global go-to-market organization. Build trusted data infrastructure, revenue metrics, dashboards, and analyses that support Sales, Marketing, Partnerships, Customer Success, and executive decision-making.

Support business strategy, marketplace growth, and operational excellence by applying data analysis, business judgment, and market intelligence.

A government organization in Jerusalem is seeking a Data Engineer to design, develop, optimize, and maintain complex data infrastructure across cloud and on-premise environments. The role is hybrid and involves supporting analytics and data science teams.

Lead the data science and credit risk function for a fintech business expanding responsible access to financial services. Own ML-powered underwriting, credit decisioning, model governance, portfolio performance, and the roadmap across multiple markets. Build and mentor data scientists and risk teams