Senior Data Scientist/Engineer
Tasks
- Define data quality standards and validation criteria
- Evaluate model performance and iterate to improve accuracy and scalability
- Implement document and maintain Python code for reproducible workflows
- Lead end to end development of NLP and entity extraction models
- Parse raw logs and prepare feature sets
- Present findings and demos to stakeholders and incorporate feedback
- Prototype and integrate generative AI solutions
- Translate user stories into technical specifications and test plans
Perks/Benefits
Skills/Tech-stack
AWS GovCloud | Azure Government | D3.js | Data Cleansing | Data Visualization | 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
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