Senior Staff Engineer, Data Science
Tasks
- Apply natural language processing
- Apply statistical concepts to real world problems
- Build end to end system architecture
- Build forecasting models
- Conduct data analysis and visualization
- Create unsupervised learning models
- Define data ingestion architecture
- Deploy and package models
- Design model training inference pipeline
- Develop classification and regression models
- Develop recommendation systems
- Implement RAG retrieval augmented generation
- Lead UAT and production rollouts
- Mentor team members
- Optimize machine learning models
- Perform prompt engineering for Generative AI
- Review code and resolve complex bugs
- Run POCs to validate designs and technologies
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Classification | Continuous Improvement | Data Analysis | Data Science | Data Visualization | Forecasting | GCP | Generative AI | Language Processing | Machine Learning | Machine Learning Optimization | Model Deployment | Model Packaging | NLP | Natural Language | Natural Language Processing | Probability | Prompt engineering | Python | R | RAG | Recommendation Systems | Regression | SQL | Scikit-learn | Statistics | Troubleshooting | UAT | Unsupervised Learning | Uplift Continuous Improvement
Roles
Data Scientist | Engineer | Scientist | Senior Staff Engineer | Staff Engineer
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