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# Senior Data Scientist - GenAI/NLP

- **Company:** Tiger Analytics
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Extraction, Machine Learning, Natural Language Processing, Open Source Technology, Chatbots, Large Language Models, Generative AI, Question Answering, Information Technology, Virtual Agents, GPT
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a95f4f531ccc0227

## About the Role

We are seeking a highly skilled and experienced Senior Data Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.

The candidate will have deep expertise in Generative AI, Large Language Models (LLMs), NLP, Retrieval-Augmented Generation (RAG), and Agentic AI. This role requires strong theoretical understanding of modern AI architectures combined with hands-on experience building production-ready GenAI solutions for enterprise clients., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.

 * 7+ years in Machine Learning, NLP, or Data Science.
 * 3+ years building enterprise Generative AI applications.
 * Strong experience delivering production-ready AI systems.
 * Strong analytical, problem-solving, and facilitation skills
 * Familiarity with task automation or AI/ML-driven solution design is a plus
 * Excellent written and verbal communication skills

## Description

* Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
 * Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
 * Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
 * Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
 * Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
 * Select appropriate model architectures based on enterprise use cases
Work on the latest applications of data science to solve business problems

 * Work directly with client stakeholders to translate business problems into high level analytics solution designs
 * Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value


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