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NLP Data Scientist – LLM

Job in Northern, Floyd County, Kentucky, USA
Listing for: Yakamconsulting
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

As a Senior NLP and LLM Data Scientist, you will be a key player in designing, implementing, and optimizing solutions that analyze and understand human language r work will involve utilizing state-of-the-art NLP models and LLMs to extract valuable information, generate insights, and enable decision-making from vast and complex textual datasets. Additionally, you will lead and mentor a team of data scientists and contribute to cutting-edge research and development projects in the field of language understanding and generation.

Key Responsibilities:
  • Lead and oversee the development and implementation of NLP models and algorithms for text data analysis.
  • Utilize Large Language Models (LLMs) such as GPT-3, BERT, or similar, for various NLP tasks.
  • Conduct data preprocessing, cleaning, and feature engineering to prepare text data for analysis.
  • Collaborate with cross-functional teams to define project objectives and requirements.
  • Utilize NLP and LLM techniques to extract insights, sentiment analysis, entity recognition, and more.
  • Mentor and provide guidance to junior data scientists within the team.
  • Stay updated with the latest advancements in NLP, LLMs, and AI research.
  • Lead and contribute to research and development projects related to language understanding and generation.
  • Requirements:
    • Master's or Ph.D. in Data Science, Computer Science, Natural Language Processing, or a related field.
    • Minimum of 5 years of hands-on experience in NLP and LLMs, with a strong track record of successful projects.
    • Strong proficiency in programming languages such as Python.
    • Familiarity with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers).
    • Experience in working with Large Language Models is highly desirable.
    • Solid understanding of machine learning and deep learning techniques.
    • Excellent problem-solving and analytical skills.
    • Strong communication, leadership, and teamwork abilities.
    • A passion for staying at the forefront of NLP and LLM advancements.
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