Staff Data Scientist
Tasks
- Build evaluation frameworks for model performance reliability accuracy and robustness
- Build interpretable machine learning systems with transparent results
- Design production statistical and machine learning systems for property valuation
- Develop uncertainty estimation and confidence estimation methodologies
- Develop valuation methodologies for complex statistical problems
- Establish data science technical standards modeling practices and engineering best practices
- Improve machine learning platform reliability maintainability and testing
- Integrate analytical capabilities into production systems
- Mentor team members and support technical hiring
- Translate analytical ideas into production software
Perks/Benefits
- N/A
Skills/Tech-stack
Interpretable machine learning | Machine Learning | Model Evaluation | Modular Architecture | Optimization | Python | Software Engineering | Statistical modeling | Statistics | Testing | Uncertainty Quantification | Version control
Education
N/A
Roles
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