Data Scientist (NLP)
Washington, D.C., District of Columbia, United States
R
A USD 100K-153K (estimate) Mid-level Full Time
Tasks
- Build supervised and unsupervised machine learning models
- Coordinate and maintain user stories
- Develop NLP models using transformers
- Engineer NLP features using TF IDF word2vec GloVe FastText
- Preprocess data using Python
- Validate and justify model results
- Visualize modeling results for business stakeholders
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Bedrock | Amazon Textract | Azure Cognitive | Azure Cognitive Services | BERT | Classification | Cognitive Services | Data Mining | Data Visualization | Databricks | Deep learning | FastText | Feature Engineering | Forecasting | GPT-J | GenAI | Gensim | Git | GitHub | GloVe | Keras | Language Processing | Lemmatization | MLflow | Machine Translation | Microsoft Azure | NLP Feature Engineering | NLTK | Natural Language | Natural Language Processing | Neural Networks | Prompt engineering | PyTorch | Python | Regression | RoBERTa | Scikit-learn | Spacy | Spark NLP | Stemming | Stop Word Removal | T5 | TF-IDF | TensorFlow | Tokenization | Transformers | Word2Vec
Education
Roles
Regions
Countries
States
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