NLP Data Scientist
New
USFull-TimeMiddle
Salary130,000 - 155,000 USD per year
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Job Details
- Required Skills
- AWSPythonNLTKPandasscikit-learnNLPLLM
Requirements
- Foundational experience with NLP techniques (text classification, named entity recognition, information extraction).
- Experience working with unstructured text data.
- Proficiency in Python.
- Comfort with HuggingFace Transformers, spaCy, NLTK, Gensim, scikit-learn, statsmodels, pandas, and pyarrow.
- Familiarity with LLMs and their practical applications (prompt design, basic LLM evaluation techniques).
- Genuine curiosity about model evaluation.
- Some experience with cloud-based ML infrastructure.
- AWS and Bedrock experience is a plus.
- Comfort working with boto3 or similar SDKs.
- A collaborative, solution-oriented approach to ambiguous problems.
- Strong communication skills to translate technical findings for non-technical audiences.
Responsibilities
- Contribute to building AI tools that help organizations understand how their people work, grow, and connect.
- Work across multiple active projects simultaneously, from building text classification models to contributing to LLM evaluation pipelines.
- Translate new client needs into tools or analyses.
- Work with large volumes of unstructured workplace text and ship models that drive real product outcomes.
- Design and deploy NLP and LLM-powered models that directly power Workhuman's AI products.
- Work hands-on with large volumes of unstructured text including employee recognition data, feedback, and survey responses.
- Engage with the full applied NLP lifecycle: problem framing, data preparation, model development, evaluation, and production handoff.
- Collaborate with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers.
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