Empleos de Data Science

Build and deploy models that turn financial transaction data into customer insights. Work with Product and Engineering from problem evaluation through production and ongoing improvement.

Lead hands-on data science and AI automation for a portfolio of live mobile games. Own predictive models and agent workflows that guide player-value, retention, monetization, and growth decisions.

Lead a multidisciplinary data team building statistical and machine learning solutions for a digital intelligence platform. Own technical direction, team development, and collaboration across data, product, and R&D functions.

Join a cybersecurity AI team developing production systems that use large language models, unstructured data, and advanced machine learning to improve security operations.

OSINT company seeking a Junior Data Analyst to collect, process, verify, and analyze information. Previous experience is not required; training and mentoring are provided.

Lead advanced data science and machine learning initiatives for an enterprise AI platform. Own complex problems from ideation through production, shape technical direction, and mentor data scientists in a cross-functional environment.

Join a multidisciplinary team developing practical AI security solutions for enterprise customers. Own the full lifecycle from research design and model development to production deployment and iteration under real-world traffic.

Join a hands-on data science team developing production models for shopper identity, customer value, recommendations, personalization, and autonomous checkout decisioning across ecommerce merchants. This individual contributor role is based in the Tel Aviv office four days per week and offers scope,

Lead the production engineering organization behind large-scale AI models, overseeing MLOps, machine learning engineering, data engineering, and the full model lifecycle from data pipelines through production monitoring.

A quantitative trading firm is seeking a senior machine learning researcher to develop trading strategies, improve algorithmic performance, and apply research ideas to live trading systems.