Data Scientist
Tasks
- Analyze raw text data
- Author analytic publications
- Conduct natural language processing analysis
- Create data visualizations
- Design and implement ETL code
- Design table configurations
- Develop SQL queries for analytics
- Implement coordination process
- Implement requirements
- Maintain enterprise metadata tools awareness
- Preprocess and clean structured data
- Preprocess and clean unstructured data
- Produce ad-hoc reports
- Provide NLP subject matter expertise
- Provide technical education to staff
Perks/Benefits
Skills/Tech-stack
APIs | Cloud Computing | Data Preprocessing | Data cleaning | Deep learning | ETL | Encoder-Decoder Models | Encoder-decoder | Flask | GPU Computing | Generative language | Generative language models | Gensim | GitHub | HuggingFace Hub | HuggingFace Transformers | Huggingface | Jenkins | Keras | Language Models | Language Processing | Machine Learning | NLTK | Natural Language | Natural Language Processing | Oracle | Performance Measurement | PyTorch | Python | SQL | Scikit-learn | Semantic Search | Spacy | Statistical Analysis | Tableau | TensorFlow | Text Classification | Topic Modeling | Transformers | Version control
Education
N/A
Roles
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