Вакансии: Data Science — Израиль

Develop and launch machine-learning technologies for personalized recommendations and customer experiences, collaborating with scientists, engineers, and product partners.

Research, design, evaluate, and deploy advanced AI and machine-learning models, with a focus on LLMs, RAG systems, and agentic AI for cybersecurity applications.

Drive the research and development of machine learning models for identity resolution and fraud prevention, from initial research through integration into high-throughput production systems.

Build and deploy machine learning and generative AI solutions for a cybersecurity vulnerability management platform, taking complex problem areas from research through production.

Join a team developing machine learning models that help customers discover live and upcoming sports events. Own work from research through production deployment, collaborating with scientists and software engineers on large-scale, real-time personalization.

Build and operate machine learning models that personalize user experiences in a consumer digital product. Own recommendation systems from behavioral data through live deployment, measuring their impact on retention, conversion, and lifetime value.

Research, develop, and productize data science capabilities that improve predictive performance on enterprise datasets. Work with research, engineering, and applied AI teams to validate approaches and ship production-ready capabilities.

Lead data science work on behavioral health conversations, developing AI solutions that support clinicians and improve care. Collaborate with product, clinical, and engineering teams from research through production in a hybrid work environment.

Build and evaluate AI applications for clinical reasoning. Work with clinicians, customers, product, and engineering teams to turn healthcare problems into scientific experiments and production solutions.

Develop and deploy predictive and anomaly-detection models using large automotive streaming datasets. Work with data science, engineering, and domain teams to build production solutions for cybersecurity, API security, and vehicle quality use cases.