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Major responsibilities- Leverage Bandits and Reinforcement Learning for Experimentation and Optimization Systems.- Develop offline policy estimation tools and integrate with reporting systems.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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