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About
Pre-process data sets for computational models using Python, including techniques like stop word removal and tokenization Apply NLP feature engineering methods and select evaluation protocols for modeling Develop and validate classification modeling techniques, presenting insights and relevance to business challenges
Required Qualifications
Master's degree required; PhD preferred in Statistics, Mathematics, Computer Science, or similar (Bachelor's acceptable with strong Python skills) High proficiency in Python for NLP use cases such as Document Summarization and Sentiment Analysis At least four years of experience with scalable, production-ready NLP solutions using relevant frameworks Experience with open source NLP packages and transformer architectures Must be a US citizen and able to obtain a Public Trust security clearance
Languages
- English
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