Sr Applied Scientist
San Francisco, CA, United States
R
USD 190K-211K Senior-level Full Time
Tasks
- Architect observability platforms and automated tooling
- Build and deploy production machine learning models
- Debug production issues
- Design experiments and causal inference frameworks
- Develop production-ready code
- Handle raw feature identification and data imbalance
- Instrument monitoring and alerting for model performance
- Translate business needs into mathematical frameworks
Perks/Benefits
Skills/Tech-stack
Alerting | Bayesian Methods | Causal Inference | Gradient descent | Machine Learning | Markov Chain | Markov chain Monte Carlo | Modular programming | Monitoring | Monte Carlo | Observability | Optimization | Probability | Reinforcement Learning | Sampling | Statistical Algorithms | Statistics | Tool Development
Education
Regions
Countries
States
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