GenAI Text Data Scientist Job Description (JD)
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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.
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- 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.
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.
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- 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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- Responsibilities: