Data Scientist at Zendesk

This role is designed for a mid-level data scientist with three to five years of experience who is comfortable bridging the gap between model development and production engineering. You should have a deep grasp of classical machine learning and deep learning, particularly within cloud environments and containerized systems. **What makes it worth a look...** You get the high-velocity environment of a startup (Unleash) backed by the massive resources and scale of Zendesk. It is a chance to move beyond experimentation and actually ship agentic AI and RAG architectures into production-grade systems while working from a hub in Tel Aviv. **You might be a good fit if you...** * Have a track record of deploying models using Docker, Kubernetes, and major cloud providers. * Write clean, production-ready Python code and understand CI/CD workflows. * Know how to optimize retrieval-augmented generation pipelines and vector databases. * Prefer choosing the right mathematical tool for a problem over just following AI trends.