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Workhuman · 2 days ago

NLP Data Scientist

United States

Full-time

Remote

Mid Level

Workhuman is dedicated to bringing more humanity to the workplace, and they are seeking an NLP Data Scientist to develop innovative AI solutions that address real-world challenges. In this role, you will work on advanced machine learning and NLP models while collaborating with cross-functional teams to ensure ethical and effective AI implementations.

Human ResourcesSaaSSoftware

No H1B

U.S. Citizen Only

Responsibilities

Help design and deploy advanced machine learning and NLP models that power Workhuman’s AI products

Collaborate with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers to build scalable and efficient solutions

Hands-on experimentation with the latest NLP techniques and frameworks to continuously improve our AI capabilities

Participate in efforts to address ethical, bias, and fairness considerations in AI, ensuring compliance and equity in all solutions

Contributed to the development and deployment of NLP models that drive measurable business impact

Supported the transition of AI solutions from development to production environments

Participated in projects addressing ethical challenges in AI, ensuring fairness and compliance

Assisted in designing experiments and benchmarks to evaluate and improve NLP model performance

Partnered with diverse teams to help deliver scalable, efficient AI solutions

Helped maintain a library of reusable algorithms, ensuring transparency and reproducibility in research

Qualification

NLP techniquesPython programmingGenerative AIDeep learning frameworksVector database technologiesCollaborationCommunication skills

Required

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

Experience with generative AI and chatbot product development, ideally with frameworks like LangChain and LLamaIndex

Knowledge of NLP techniques, such as text classification, sentiment analysis, and sequence tagging

Proficiency in Python programming and familiarity with NLP/ML toolkits like Sklearn, Gensim, Spacy, and NLTK

Experience with vector database technologies (e.g., pgvector, Pinecone) and deep learning frameworks (e.g., TensorFlow, PyTorch)

A collaborative and solutions-oriented approach to problem-solving in dynamic environments

Strong communication skills, with the ability to convey technical concepts to non-technical audiences