Data Scientist

Zendesk, Inc.

Job Overview

Location

Remote, Israel

Job Type

Full-time

Full Job Description

📋 Description

• As a Data Scientist at Zendesk, you will play a key role in developing and deploying the AI capabilities that power the agentic AI experience, directly contributing to intelligent, scalable platforms that bring AI-driven products into customers’ workflows.
• Your work will focus on designing, building, and shipping data-driven solutions that power the core AI search engine, ensuring models are not only accurate but also production-ready, scalable, and maintainable.
• Day to day, you will: Design and develop retrieval and ranking models using classical ML and deep learning techniques; Own the full lifecycle of models from data exploration and experimentation to production deployment and real-time monitoring; Collaborate with engineering teams to ensure scalability, reliability, and performance of AI systems; Optimize data processing flows to improve output quality and uncover trends that guide product strategy; Iterate on model efficiency, system stability, and maintainability through continuous refinement; Work in a high-velocity R&D environment where ideas move quickly from concept to code.
• You will join a tight-knit, high-impact R&D team within Zendesk that combines startup agility with enterprise scale, operating from the heart of Tel Aviv with remote flexibility, focused on building AI-centric platforms that enhance how organizations and employees work every day.
• In this role, you will deepen your expertise in MLOps, production-grade AI systems, and advanced retrieval-augmented generation (RAG) architectures, while gaining end-to-end ownership of AI features that impact real-world customer experiences at scale.

🎯 Requirements

• 3–5 years of experience as a Data Scientist or in a similar role, with a proven track record of shipping machine learning models to production environments.
• Strong Python programming skills with a deep understanding of software engineering best practices, including clean code, CI/CD, and automated testing.
• Solid theoretical and practical knowledge of data science models, spanning classical machine learning (e.g., decision trees, boosting, regression) to deep learning architectures, with the ability to select the appropriate tool for each problem.
• Hands-on experience with infrastructure tools such as Docker and Kubernetes, and comfort with the operational side of deploying scalable data science systems.
• Proficiency in the standard data science stack (Pandas, scikit-learn) and modern deep learning frameworks (PyTorch or TensorFlow).
• Experience building and deploying applications in major cloud ecosystems (AWS, GCP, or Azure).

🏖️ Benefits

• Opportunity to work on high-impact AI-driven products that directly improve customer and employee experiences at a global scale.
• Hybrid work model offering flexibility to work remotely part of the week while maintaining opportunities for in-person collaboration at Zendesk offices worldwide.
• Commitment to diversity, equity, and inclusion, with Zendesk being an AA/EEO/Veterans/Disabled employer and fostering an inclusive workplace for all individuals regardless of background.
• Access to reasonable accommodations for applicants with disabilities and disabled veterans, ensuring an equitable application and selection process.
• Transparent hiring practices, including disclosure about the potential use of AI or automated systems in application screening, in compliance with company guidelines and applicable law.

Skills & Technologies

Python

AWS

Azure

GCP

Docker

Data Science

Remote

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Zendesk, Inc.

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About Zendesk, Inc.

Zendesk, Inc. provides cloud-based customer service and engagement software that unifies support, sales, and customer communications. Its platform includes ticketing, messaging, knowledge bases, voice, AI bots, analytics, and workforce tools, integrating email, chat, social, phone, and self-service channels. Founded in 2007 and headquartered in San Francisco, the company serves over 100,000 paid customer accounts across industries worldwide, helping organizations improve customer satisfaction, agent productivity, and operational efficiency through scalable, open, and secure solutions.

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