高级数据科学家 (代理解决方案)
Senior Data Scientist (Agentic Solutions)
关于公司：
Netomi 是企业客户体验领域的领先代理型 AI 平台。我们与 Delta 航空、MetLife、MGM、United 等全球顶级品牌合作，通过整个客户旅程实现代理型自动化的大规模应用。我们的无代码平台提供最快的产品上市时间、最低的总体拥有成本，以及适用于任何 CX 场景的 AI 代理的简单、可扩展管理。由 WndrCo、Y Combinator 和 Index Ventures 支持，我们帮助企业在效率、成本降低和提升客户体验质量方面取得进展。
想要成为人工智能革命的一部分，改变全球最大品牌做生意的方式吗？加入我们！
我们正在寻找一位高级数据科学家加入我们的代理解决方案团队，专注于通过设计、开发和交付 AI 驱动的代理解决方案来推动创新。该职位位于数据科学、生成式 AI、产品创新和客户交付的交汇点，帮助将复杂的业务问题转化为实际的、可扩展的 AI 解决方案。
理想的候选人应具备动手能力，以交付为导向，并热衷于将高级分析、机器学习、大语言模型和代理型 AI 框架应用于实际用例。你将与包括产品、工程、解决方案和客户相关利益方在内的跨职能团队紧密合作，打造原型、验证并部署能产生可衡量业务影响的智能解决方案。
此职位适合那些兼具扎实技术深度与实际执行能力、强大解决问题能力，并能向技术和非技术受众清晰传达复杂想法的人。
职责
- 设计、原型设计并交付用于内部和客户使用场景的 AI 和代理解决方案。
- 应用数据科学、机器学习和生成式 AI 技术解决复杂业务问题。
- 与产品、工程和交付团队合作，将需求转化为可扩展的解决方案设计。
- 使用数据驱动的方法评估模型性能、解决方案质量和业务影响。
- 支持实验、概念验证和生产就绪的实施。
- 向利益相关者清晰地传达洞察、建议和技术方法。
- 跟踪 AI 代理、大语言模型（LLMs）、自动化和应用数据科学领域的最新趋势。
要求
- 在数据科学、机器学习、分析等领域有丰富经验，或在相关领域有类似经验。
查看英文原文
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
We are looking for a Senior Data Scientist to join our Agentic Solutions team, focused on driving innovation through the design, development, and delivery of AI-powered agentic solutions. This role sits at the intersection of data science, generative AI, product innovation, and client delivery, helping translate complex business problems into practical, scalable AI solutions.
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities
- Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
- Apply data science, machine learning, and generative AI techniques to solve complex business problems.
- Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
- Evaluate model performance, solution quality, and business impact using data-driven methods.
- Support experimentation, proof-of-concepts, and production-ready implementations.
Communicate insights, recommendations, and technical approaches clearly to stakeholders.
Stay current with emerging trends in AI agents, LLMs, automation, and applied data science.
Requirements
- Strong experience in data science, machine learning, analytics, or applied AI.
- Hands-on experience with Python, SQL, data analysis, and model development workflows.
- Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
- Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
- Ability to move from ambiguous problem statements to practical, implemented solutions.
- Strong communication skills and comfort working with cross-functional teams.
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
Originally posted on Himalayas