Zendesk
5001 - 10000 employees
Founded 2007
☁️ SaaS
🤝 B2B
💰 Grant on 2019-09
SaaS • B2B • Customer Support
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
Data Scientist
🕒 March 31
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Zendesk
5001 - 10000 employees
Founded 2007
☁️ SaaS
🤝 B2B
💰 Grant on 2019-09
SaaS • B2B • Customer Support
Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.
📋 Description
• Design, develop, and ship data-driven solutions that power AI search engine • Own entire lifecycle from data exploration and modeling to production rollout • Partner with engineering team for scalable, reliable deployments • Deep dive into data processing flows to improve output quality • Constantly improve model efficiency and system stability • Collaborate in a high-velocity R&D environment
🎯 Requirements
• 3–5 years as a Data Scientist (or similar role) • Strong coding skills with Python and a deep understanding of software engineering best practices • Deep theoretical and practical knowledge of Data Science models • Hands-on experience with Docker and Kubernetes • Proficient in standard stack (Pandas, scikit-learn) and modern deep learning frameworks (PyTorch or TensorFlow) • Experienced in building and deploying within major cloud ecosystems (AWS, GCP, or Azure)
🏖️ Benefits
• Flexible working arrangements • Professional development opportunities
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