Senior Data Scientist (Agentic Solutions)

Company shown to members 🔒 · Remote · India only

India onlySeniorPublished 27 July 2026Check carefully

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First recorded by Psst: 9 November 2026. The company's name and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
India only
Skills and tools
sql, python, data analysis, machine learning
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
India
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
27 July 2026
First recorded by Psst
9 November 2026
Last checked at the source
10 November 2026

About the job

About the Company

The company 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!

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.

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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.

•

Strong communication skills and comfort working with cross-functional teams.

The company 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.

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