Senior Data Scientist/Engineer
Tasks
- Create test plans
- Design data quality standards and validation criteria
- Develop entity extraction pipelines
- Evaluate model performance and improve accuracy
- Implement and maintain Python data science workflows
- Lead end to end development of NLP models for cyber data
- Parse raw logs
- Prepare feature sets
- Present findings to stakeholders
- Prototype and integrate generative AI solutions
- Translate user stories into technical specifications
Perks/Benefits
Skills/Tech-stack
AWS GovCloud | Azure Government | Data Cleansing | Docker | ETL | Embedding Models | 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
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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