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Senior Data Scientist (Agentic Solutions)

About the Company:

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Netomi Source published Jul 27, 2026 Verified 9 hours ago
✓ 100% verification score · Source: Netomi (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull Time - Remote
Work modeRemote / location-flexible

Overview

About the Company:

Full job description

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, 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!

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.

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.

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