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Mid-level GenAI Data Scientist in metro with broad NLP skillset and common title increases candidate competition.
Specialized GenAI/NLP skills are transferable across industries but require prior ML/NLP experience.
Explicit 5+ years requirement plus GenAI/NLP and deep learning framework expertise increases shortlisting strictness.
Develop and implement NLP models such as text classification, sentiment analysis, and entity recognition to extract insights from large textual datasets.
Preprocess and engineer features from unstructured text data to enhance NLP model performance and accuracy.
Collaborate with cross-functional teams to integrate NLP solutions and optimize algorithms for scalability and efficiency.
Minimum 3 years of professional experience in data science with a focus on GenAI and NLP.
Master's degree in Computer Science, Data Science, Statistics, or related field.
Strong programming skills in Python or R and experience with NLP libraries/frameworks such as NLTK, SpaCy, TensorFlow.
Proficiency with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Experienced in applying advanced NLP techniques on large-scale text datasets and deriving actionable insights.
Familiar with collaborating across data engineering, software development, and domain teams to deliver integrated solutions.
Capable of optimizing NLP algorithms for performance using parallel processing and distributed computing methods.