GenAI NLP Data Scientist Job Description (JD)

A GenAI NLP Data Scientist Job Description (JD) is a NLP data scientist JD for GenAI NLP data scientists (who specialize in LLM-leveraging applications applications).

• Context:
  • It can (typically) emphasize the use of Generative AI in NLP tasks, focusing on creating new content or deriving insights from existing text and speech data.
  • It can (typically) include GenAI NLP Data Scientist Role Overview, highlighting the integration of Generative AI with Natural Language Processing.
  • It can (typically) list GenAI NLP Data Scientist Responsibilities, such as developing and implementing Generative AI Models, working with large language models, and creating innovative NLP solutions.
  • It can (typically) specify GenAI NLP Data Scientist Skill Requirements, including strong proficiency in NLP techniques, deep learning algorithms, and neural networks.
  • It can (typically) mention GenAI NLP Data Scientist Educational Requirements, often requiring advanced degrees in fields such as Computer Science, Data Science, or Linguistics, with a strong focus on Generative AI.
  • It can (often) outline GenAI NLP Data Scientist Experience Requirements, including experience with cloud computing platforms, data engineering, and data pipeline development.
  • It can (often) emphasize the need for excellent problem-solving skills, communication skills, and the ability to work in a collaborative environment.
  • ...
• Example(s):
  • A JD for a GenAI NLP Data Scientist at a pharmaceutical company, focusing on drug discovery through generative AI models.
  • A JD for a GenAI NLP Data Scientist in a tech company, developing new content generation tools using generative AI.
  • ...
• Counter-Example(s):
  • A Data Analyst Job Description, focusing on data analysis without NLP or AI.
  • A Software Engineer Job Description, focusing on general software development.
  • ...
• See: NLP Data Scientist Job Description (JD), AI Data Scientist JD, Machine Learning Data Scientist JD, Data Science.

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References

2024

• Bard
  • Summary: GenAI NLP Data Scientists combine expertise in Natural Language Processing and Generative AI to innovate in fields like content generation, language understanding, and data analysis.
  • Responsibilities:
    • Developing and implementing generative AI models for various NLP tasks.
    • Collaborating with cross-functional teams to understand and solve complex problems using generative AI.
    • Evaluating and optimizing AI models for performance and accuracy.
    • Researching new advancements in generative AI and applying them to NLP.
  • Skills and Qualifications:
    • Advanced degree (Ph.D. preferred) in a related field.
    • Strong understanding of NLP and generative AI.
    • Experience with programming languages such as Python.
    • Proficiency with AI frameworks and libraries.
    • Excellent problem-solving and collaboration skills.

2024

• GPT-4
  • The salary information for a Data Scientist, particularly focusing on GenAI and Legal Text, in San Francisco, CA is not explicitly available. However, general data scientist salaries in the area can provide a reasonable estimate. Here's a summary of the available data:
    1. Levels.fyi reports that the average Data Scientist salary range in the San Francisco Bay Area is between $166,000 to $284,000
    2. Built In states that the average salary for a Data Scientist in San Francisco is $163,366, with a specific example of a Machine Learning Data Scientist earning $170,000
    3. According to PayScale, the average Data Scientist salary in San Francisco is $129,077
    4. Indeed indicates an average salary of $159,949 for Data Scientists in San Francisco .
    5. Salary.com lists the average Data Scientist salary as $179,571, with a range typically between $161,751 and $197,466 .
    6. Glassdoor reports an average salary of $178,135 for Data Scientists, with additional cash compensation averaging $33,890 .
    7. For a GenAI-specific role, Ladders mentions that Databricks is hiring a GenAI Research Scientist with an estimated salary range of $166,000 - $225,000 .
  • These figures indicate that while there's some variance in reported salaries, the compensation for a Data Scientist in San Francisco is generally high, reflective of the cost of living and the demand for skilled professionals in this field. The specific role focusing on GenAI for Legal Text might command a salary within or possibly above these ranges, considering the specialized nature of the work and the high demand for AI expertise in legal applications.

2023

• https://careers.lilly.com/us/en/job/R-55420/GenAI-NLP-Data-Scientist
  • Summary: The role involves implementing generative AI models to drive business and scientific decisions, focusing on proactive, predictive, and powerful solutions.
  • Responsibilities:
    • Developing enterprise-level generative AI models.
    • Identifying and analyzing data for insights.
    • Collaborating with stakeholders to provide data-driven solutions.
    • Researching emerging trends in generative AI.
  • Skills and Qualifications:
    • Experience with cloud platforms and statistical modeling.
    • Proficiency in various data formats and sources.
    • Strong analytical and problem-solving skills.
    • Leadership and project management experience.
    • Excellent communication and presentation skills.
  • Educational Requirements:
    • PhD or Master's in a relevant field.
    • Experience in an NLP/GenAI role post-education.
    • Proficiency with machine learning and generative AI algorithms.
    • Experience with programming languages like Python.

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