Responsibilities:
- Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital data asset
- Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
- Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis
Requirements:
- Must be a full-time undergraduate/graduate student in good academic standing
- Project experience with developing machine learning models at scale
- Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc
- Good experience with processing large size data is preferred
- Good experience with Python, Java and/or Scala is preferred
- Master’s or above is preferred
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