NLP Data Scientist

Workhuman

1d•Remote

About The Position

The Opportunity Are you passionate about applying NLP and LLMs to real-world, human-focused challenges? As an NLP Data Scientist at Workhuman, you'll contribute to building AI tools that help organizations understand how their people work, grow, and connect. You'll work across multiple active projects simultaneously rather than embedded on a single product team - one quarter you might be building a text classification model, the next contributing to an LLM evaluation pipeline or translating a new client need into a tool or analysis we haven't built before. What stays constant is working with large volumes of unstructured workplace text and shipping models that drive real product outcomes. This is a remote position based in the US. Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role. What We Can Offer You The opportunity to design and deploy NLP and LLM-powered models that directly power Workhuman's AI products. Hands-on work with large volumes of unstructured text — employee recognition data, feedback, survey responses, and more. Exposure to the full applied NLP lifecycle: problem framing, data preparation, model development, evaluation, and production handoff. Collaboration with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers. A learning-forward environment with access to the latest research, tools, and best practices in NLP and generative AI.

Requirements

Foundational experience with NLP techniques, including text classification, named entity recognition, information extraction, and working with unstructured text data.
Proficiency in Python and comfort with the modern NLP/ML stack - HuggingFace Transformers, spaCy, NLTK, Gensim, scikit-learn, statsmodels, pandas, and pyarrow.
Familiarity with LLMs and their practical applications — including prompt design and basic LLM evaluation techniques (e.g., LLM-as-judge, semantic similarity scoring).
Some experience with cloud-based ML infrastructure.
Comfort working with boto3 or similar SDKs to integrate ML capabilities into larger systems.
A collaborative, solution-oriented approach to ambiguous problems.
Strong communication skills, with the ability to translate technical findings into clear language for non-technical audiences.
Valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident).

Nice To Haves

Genuine curiosity about model evaluation is a strong plus.
AWS and Bedrock experience is a plus.

Responsibilities

Contribute to building AI tools that help organizations understand how their people work, grow, and connect.
Work across multiple active projects simultaneously.
Build text classification models.
Contribute to an LLM evaluation pipeline.
Translate a new client need into a tool or analysis.
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.
Gain hands-on work with large volumes of unstructured text — employee recognition data, feedback, survey responses, and more.
Gain exposure to 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.
Work in a learning-forward environment with access to the latest research, tools, and best practices in NLP and generative AI.