Applied Scientist III
Tasks
- Build dynamic pricing and bid shaping systems
- Deploy and iterate machine learning models in production
- Design online learning and reinforcement learning experiments
- Develop multi armed bandit decision methods
- Evaluate exploitation exploration tradeoffs in multi agent systems
- Formulate and implement real time auction algorithms
- Implement Bayesian modeling for non stationary environments
- Publish research and conduct internal seminars
- Run real world experiments with rapid feedback loops
- Translate business problems into research questions
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Bayesian Inference | Causal Inference | Deep learning | Game theory | Information theory | Machine Learning | Multi-Armed Bandits | NumPy | Online Learning | Optimization | Probability theory | PyTorch | Python | Reinforcement Learning | SciPy | TensorFlow
Education
Regions
Countries
States
Cities
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