GenAI Text Data Scientist Job Description (JD)

A GenAI Text Data Scientist Job Description (JD) is a data scientist job description for a GenAI text data scientist.

• AKA: GenAI NLP Data Scientist JD.
• Context:
  • It can (typically) include GenAI Text Data Scientist Responsibilities.
  • It can (typically) include GenAI Text Data Scientist Requirementes.
  • It can be associated to a GenAI NLP Engineer JD.
  • ...
• Example(s):
  • One in a tech company working on a LLM-driven chatbot.
  • One in a translation company improving a GenAI-based translation system.
  • One in a media company developing content generation tools using GenAI models.
  • A Legal Tech GenAI Data Scientist JD (for a legal tech GenAI data scientist).
  • ...
• Counter-Example(s):
  • A Data Analyst JD, who primarily works with structured data and may not specialize in NLP or GenAI.
  • A Software Developer JD, focusing on general software development without specific skills in NLP or GenAI.
  • A Traditional Linguist JD, who focuses on language study without applying computational models.
• See: Text Analytics, Machine Learning in Natural Language Processing, Chatbot Data Scientist JD.

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References

2024

• Bard
  • Responsibilities:
    • Design, develop, and implement state-of-the-art LLM models, including language generation, translation, summarization, and dialogue systems.
    • Collaborate with cross-functional teams (scientists, engineers, product managers) to define business challenges and opportunities where GenAI and NLP can deliver significant impact.
    • Build efficient pipelines for data collection, processing, and integration for training and fine-tuning GenAI models.
    • Design and execute experiments to evaluate LLM-based model performance and identify areas for improvement.
    • Analyze and interpret results from LLM-based models to extract actionable insights and inform business decisions.
    • Perform rigorous evaluation and benchmarking of LLM-based models, ensuring accuracy, fairness, and robustness.
    • Ensure data quality and accuracy throughout the project lifecycle, from data acquisition to model training and deployment.
    • Communicate effectively with technical and non-technical stakeholders, presenting findings and recommendations clearly and concisely.
    • Document your work in a clear and maintainable manner.
    • Present findings and recommendations to senior leadership and stakeholders, influencing strategic decision-making.
    • Stay at the forefront of GenAI research, exploring new techniques and applications for text analysis.
    • ...
  • Qualifications:
    • Master's degree or Ph.D. in Computer Science, Data Science, Linguistics, or a related field.
    • Proven experience in Natural Language Processing (NLP) with expertise in tasks like text classification, summarization, and machine translation.
    • Strong understanding of deep learning models, particularly autoregressive text models.
    • Proficiency in GenAI text-relevant programming languages like Python.
    • Familiarity with cloud platforms (e.g., AWS, Azure) is highly desirable.
    • Excellent analytical and problem-solving skills.
    • Effective communication and interpersonal skills.
    • Ability to work independently and as part of a team.
    • Demonstrated passion for AI and its potential to transform the world.
    • Collaborative and team-oriented with a passion for innovation and intellectual curiosity.
    • ...

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