Data Scientist
Tasks
- Build regression test suites for ML and LLM models
- Collaborate on ML model architecture improvements
- Communicate model health findings to stakeholders
- Design ML model validation frameworks
- Develop and execute model evaluation protocols
- Document evaluation methodologies and monitoring runbooks
- Monitor models in production for drift and reliability
- Stay current with LLM evaluation and safety techniques
Perks/Benefits
- Career coaching
- Extended health benefits
- Learning and leadership programs
- Retirement savings matching
- Stock options
Skills/Tech-stack
A/B | A/B Testing | B testing | Bias Variance | Bias-Variance Tradeoff | CI/CD | Calibration | Confidence Intervals | Data Drift | Data Drift Detection | Drift Detection | LLM Evaluation | Pandas | Process control | Prompt engineering | PyTorch | Python | RAG | Ragas | SQL | Scikit-learn | Statistical Process Control | TensorFlow | XGBoost
Education
N/A
Roles
Regions
Countries
States
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