Вакансии: Данные — Израиль

Analyze operational data across a global renewable energy portfolio to identify performance trends and anomalies, build KPIs and dashboards, and deliver reliable analytical solutions.

Join a data team working across data engineering, databases, production operations, and data science and machine learning initiatives. This is a hybrid, full-time role in Hod Hasharon, Israel, with participation in an on-call rotation after onboarding.

Drive product decisions through end-to-end analytics for an AI search platform. Partner with Product, Engineering, Growth, and leadership to identify opportunities, evaluate outcomes, and guide product strategy.

Use data science and product analytics to identify opportunities, measure product outcomes, and inform product strategy and investment decisions. This is an 18-month short-term contract.

Analyze digital, marketing, and customer data to uncover actionable insights, improve campaigns and product performance, and support strategic decisions.

Join a digital health company’s machine learning team to use health and behavioral data to shape product decisions and improve digital heart health experiences. Partner with product, engineering, data, clinical, marketing, and customer success teams.

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.

Own evaluation methods and infrastructure for production AI agents. Define trusted quality metrics, integrate continuous evaluation into agent workflows, and help teams use evaluation results to make production decisions.