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# Data Scientist (Agents)

- **Company:** Akaasa Technologies
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Machine Learning, Language Modeling, Natural Language Processing, Large Language Models, Model Validation, Generative AI, Data Analytics
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us4620a3f1142a258ef61c2e18ab9f6373

## About the Role

* Must be local to Irving, TX or nearby area with DL copy
 * LinkedIn with location (before 2022)
 * Recent or recent second project must be at the current location, * NLP: Strong hands-on experience processing and analyzing text data, particularly call or chat transcripts.
 * AI/ML: Practical experience building, training, testing, or evaluating machine learning models-not just prompting existing LLMs.
 * LLMs and Generative AI: Experience working with language models and understanding their capabilities, limitations, and failure modes.
 * Model Evaluation: Experience validating outputs against ground-truth datasets, measuring accuracy, and improving model performance.
 * Technical Expertise: Strong analytical and problem-solving skills, with the ability to troubleshoot model behavior.
 * Communication: Ability to collaborate with business stakeholders, gather feedback, and translate business requirements into effective AI solutions.

Important: NLP and hands-on AI/ML model development are the top priorities. Candidates with only basic LLM prompting experience will not be a strong fit. Candidates must be local to Irving, TX, available for onsite work, and able to attend an onsite interview.

## Description

We are seeking a Senior Data Scientist to develop and deploy AI-powered solutions that improve customer care operations and enhance customer experience. The ideal candidate will have strong hands-on experience in Natural Language Processing (NLP), machine learning, large language models (LLMs), and generative AI.
The candidate will analyze call-center transcripts, chat conversations, and other text-based data to extract insights, build intelligent solutions, and improve operational efficiency. This role involves developing and evaluating AI/ML models, validating model outputs against ground-truth datasets, and collaborating with business stakeholders to deliver scalable, data-driven solutions.