As a Natural Language Processing (NLP) Data Scientist, you will specialize in processing and analyzing unstructured text. You will own the process of text analysis from beginning to end, including the following items:

  • Collect and integrate unstructured data from various data sources (social, news, documents, etc.)

  • Use cutting edge NLP techniques (tokenization, entity detection, lemmatization, vectorization, content classification, ngrams, TF-IDF, LDA, etc.) to extract and classify information from these unstructured text data sources texts

  • Extract knowledge and patterns from unstructured texts and generate actionable business insights in a structured manner. Examples include: keywords, entities, sentiment, etc.

What we’re looking for:

  • Bachelor or Master degree in computer science or related field

  • Fluent in Python

  • Proficient in NLP libraries such as nltk, spacy, scikit-learn, textblob, etc.

  • Strong knowledge of text representation techniques (such as n-grams, bag of words, sentiment analysis etc.), statistics and classification algorithms

  • Experience in AWS is a plus

  • 2+ years of work experience in the industry or academic environment in an analytical role

  • Excellent communication skills: English fluency (spoken and written), ability to able to explain technical concepts to a variety of audience levels and advocate effectively

  • Strong problem-solving skills

  • Immediate availability in NYC (onsite) preferred. Remote work will be considered.

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