Applied Scientist, Customer Behavior Analytics
Tasks
- Apply post training optimization techniques
- Build structured temporal representations of customer behavior
- Create evaluation frameworks with offline metrics and counterfactual analysis
- Design and fine tune generative language models
- Develop generative recommendation and decision models
- Develop scalable representations for efficient inference
- Run online experimentation to measure customer outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
Counterfactual analysis | Deep learning | Econometrics | Generative Models | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Offline Reinforcement Learning | Online Experimentation | Policy Optimization | Recommendation Systems | Reinforcement Learning
Education
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