Data Scientist
Tasks
- Build NLP text processing and information extraction solutions
- Build reusable tools processes and documentation for model lifecycle management
- Collaborate to deploy and scale models in cloud environments
- Communicate analysis results and model insights to stakeholders
- Develop deploy and maintain machine learning models in production
- Evaluate new machine learning and LLM approaches
- Monitor model performance and data drift
- Process large structured and unstructured datasets
- Support model retraining and improvements
Perks/Benefits
- 401k matching
- Annual bonus program
- Casual office spaces
- Dog-friendly office
- Four-day work week
- Generous time off
- Winter holiday break
Skills/Tech-stack
AWS | Apache Spark | Cloud Computing | Data Drift | Data drift monitoring | Decision Trees | Drift monitoring | Ensemble learning | Entity recognition | Google Cloud | Information Extraction | LLMs | Language Processing | Machine Learning | Microsoft Azure | Model Monitoring | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | Python | R | Regression | SQL | Sentiment Analysis | Text Classification | Tokenization
Education
Roles
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