Senior Data Scientist/Engineer
Tasks
- Collaborate on data parsing and feature set preparation
- Define data quality standards and validation criteria
- Evaluate model performance and iterate for accuracy and scalability
- Implement Python workflows for reproducible data science
- Lead end to end development of NLP and entity extraction models for cyber data
- Present findings and demos to stakeholders
- Prototype and integrate generative AI for insight generation
- Translate user stories into technical specifications and test plans
Perks/Benefits
Skills/Tech-stack
AWS GovCloud | Azure Government | D3JS | Data Cleansing | Data Visualization | Docker | ETL | Embeddings | Entity Extraction | Entity recognition | Feature Engineering | Generative AI | Hadoop | Kafka | Kubernetes | Language Processing | Machine Learning | Named Entity Recognition | Natural Language | Natural Language Processing | Pandas | Plotly | PyTorch | Python | Scikit-learn | Spark | TensorFlow | Tokenization
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