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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.
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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