Senior Data Scientist
Core
Develop and implement NLP models (text classification, sentiment analysis, entity recognition) to extract insights from unstructured textual data for Fortune 500 clients.
Role type
Senior GenAI Data Scientist (NLP)
Builds
Production NLP models and text analysis solutions
Domain
Enterprise AI / Natural Language Processing
Deliverable
production ML models
Required skills
NLP model development, text preprocessing, feature engineering, model training and evaluation, statistical analysis, algorithm optimization, distributed computing, Python, R, NLP libraries (NLTK, SpaCy), deep learning frameworks (TensorFlow, PyTorch), text mining, information retrieval, semantic analysis, cloud platforms (AWS, Azure), big data technologies
Preferred skills
GenAI experience, experience with large-scale data analysis
Technologies
Python, R, NLTK, SpaCy, TensorFlow, PyTorch, AWS, Azure
Responsibilities
Develop NLP models for text classification, sentiment analysis, and entity recognition; preprocess and clean large volumes of text data; engineer features to capture semantic relationships; train, fine-tune, and validate NLP models; conduct exploratory data analysis on textual datasets; optimize NLP algorithms for efficiency and accuracy; collaborate with cross-functional teams to integrate solutions; document methodologies and code.
Seniority
Senior, hands-on IC
