Posted at: 27 July
Senior Data Scientist (Agentic Solutions)
Company
Netomi is a San Mateo-based B2B AI company specializing in conversational AI solutions for enterprise customer service, serving industries like hospitality and airlines, with a focus on automating customer interactions.
Remote Hiring Policy:
Netomi supports remote work and hires from various regions, including the United States, India, and Canada, with team members collaborating across time zones.
Job Type
Full-time
Allowed Applicant Locations
United States, Canada, India
Salary
$100,000 to $150,000 per year
Job Description
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
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Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
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Apply data science, machine learning, and generative AI techniques to solve complex business problems.
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Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
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Evaluate model performance, solution quality, and business impact using data-driven methods.
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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
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Strong experience in data science, machine learning, analytics, or applied AI.
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Hands-on experience with Python, SQL, data analysis, and model development workflows.
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Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
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Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
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Ability to move from ambiguous problem statements to practical, implemented solutions.
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Strong communication skills and comfort working with cross-functional teams.