Dice
NLP Data Scientist
Dice, Washington, District of Columbia, us, 20022
NLP Data ScientistJob DescriptionResponsibilities:
Build end-to-end solutions that identify sentiment, intent, and other features from unstructured text data, particularly from chat and call transcripts. Design NLP architecture for bots and automation applications.Find and implement the right algorithms and tools for NLP applications.Train, test, and deploy models in the cloud (AWS/Azure/Google Cloud Platform).Basic logical pseudo code writing. Build models related to text, image, and audio for a variety of problems.Work with the engineering team to deploy models in production and validate the models.Required Skills:
Experience in the design, building, and deployment of NLP models in the industry. Proficient in Python and SQL.Experience in NLP tools like Hugging Face, Gensim, spaCy, Stanford NLP, and BERT/ELMO.Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling.Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc.), statistics, and classification algorithms.Experience in NLP, NLU, NLG is a big plus. Hands-on with deep learning frameworks like Keras, Pytorch, and TensorFlow.Knowledge of Python packages and tools, particularly those developed for NLP techniques. Experience with text, image analytics, NLP, entity extraction, and text mining algorithms.Must be a proficient Python programmer.Experience:
PhD or Master's degree in Computer Science, Computational Linguistics, or a related field.Strong background in natural language processing.Experience with machine learning techniques.Proficiency in programming languages such as Python or Java.Familiarity with NLP libraries and frameworks (e.g., NLTK, SpaCy, TensorFlow).Understanding of linguistic concepts.Experience with deep learning models (e.g., RNNs, Transformers).8+ years of work experience as a Data Scientist.4 years of work experience in Natural Language Processing.Desired Candidate Profile:
Immediate joining.Excellent English communication and presentation skills, both verbal and written.Charismatic, competitive, and enthusiastic personality with negotiation skills.Excellent interpersonal and customer-facing skills.
#J-18808-Ljbffr
Build end-to-end solutions that identify sentiment, intent, and other features from unstructured text data, particularly from chat and call transcripts. Design NLP architecture for bots and automation applications.Find and implement the right algorithms and tools for NLP applications.Train, test, and deploy models in the cloud (AWS/Azure/Google Cloud Platform).Basic logical pseudo code writing. Build models related to text, image, and audio for a variety of problems.Work with the engineering team to deploy models in production and validate the models.Required Skills:
Experience in the design, building, and deployment of NLP models in the industry. Proficient in Python and SQL.Experience in NLP tools like Hugging Face, Gensim, spaCy, Stanford NLP, and BERT/ELMO.Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling.Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc.), statistics, and classification algorithms.Experience in NLP, NLU, NLG is a big plus. Hands-on with deep learning frameworks like Keras, Pytorch, and TensorFlow.Knowledge of Python packages and tools, particularly those developed for NLP techniques. Experience with text, image analytics, NLP, entity extraction, and text mining algorithms.Must be a proficient Python programmer.Experience:
PhD or Master's degree in Computer Science, Computational Linguistics, or a related field.Strong background in natural language processing.Experience with machine learning techniques.Proficiency in programming languages such as Python or Java.Familiarity with NLP libraries and frameworks (e.g., NLTK, SpaCy, TensorFlow).Understanding of linguistic concepts.Experience with deep learning models (e.g., RNNs, Transformers).8+ years of work experience as a Data Scientist.4 years of work experience in Natural Language Processing.Desired Candidate Profile:
Immediate joining.Excellent English communication and presentation skills, both verbal and written.Charismatic, competitive, and enthusiastic personality with negotiation skills.Excellent interpersonal and customer-facing skills.
#J-18808-Ljbffr