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Data Scientist

NetomiGurugramPosted Mar 2, 2026
Data ScientistRemoteSenior
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Mar 2
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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, 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!

Job Description:
 
Do you believe in the missions Intelligence agencies? Are you interested in solving complex programmatic and technical issues?
 
If you are interested in working on some of the most challenging technical and programmatic issues , we are interested in talking to you about Netomi work and career opportunities.
 
We are seeking a Senior Data Scientist with deep expertise in Large Language Models (LLMs) and modern AI systems to join our team. This role combines cutting-edge research, rapid prototyping, and production-grade implementation to deliver innovative AI-powered solutions. You will drive NLP and machine learning projects from conception through deployment, working as both a direct contributor and key technical advisor.
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What applying to Netomi usually looks like

Based on publicly available information, candidates applying through lever for roles at Netomi can generally expect an initial application submission followed by an online profile review by a recruiter or talent team member. If shortlisted, applicants may be invited to a recruiter screening call, which typically explores background, motivation, and role fit. Depending on the position, such as data-analyst, product-manager, or software-engineer roles, the process may include multiple stages, potentially involving technical assessments, portfolio reviews, or hiring manager conversations. Panel interviews with team members are also common for many positions. Communication is often handled through the Lever platform, including status updates and scheduling. Response times vary, and candidates should not assume a fixed number of rounds, as processes can differ based on role type and seniority level.

Based on publicly available information. LandEarly does not verify interview process details.

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